WO2021205844A1 - Authentication device - Google Patents

Authentication device Download PDF

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Publication number
WO2021205844A1
WO2021205844A1 PCT/JP2021/011248 JP2021011248W WO2021205844A1 WO 2021205844 A1 WO2021205844 A1 WO 2021205844A1 JP 2021011248 W JP2021011248 W JP 2021011248W WO 2021205844 A1 WO2021205844 A1 WO 2021205844A1
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WO
WIPO (PCT)
Prior art keywords
authentication
flow rate
rate information
authentication device
gate
Prior art date
Application number
PCT/JP2021/011248
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French (fr)
Japanese (ja)
Inventor
裕之 齊藤
清仁 窪田
Original Assignee
Necソリューションイノベータ株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
Application filed by Necソリューションイノベータ株式会社 filed Critical Necソリューションイノベータ株式会社
Priority to JP2022514368A priority Critical patent/JP7414327B2/en
Publication of WO2021205844A1 publication Critical patent/WO2021205844A1/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00Individual registration on entry or exit
    • G07C9/30Individual registration on entry or exit not involving the use of a pass
    • G07C9/32Individual registration on entry or exit not involving the use of a pass in combination with an identity check
    • G07C9/37Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition

Definitions

  • the present invention relates to an authentication device, an authentication method, and a recording medium.
  • Authentication technologies such as face recognition and iris recognition are known. Such authentication can be used, for example, when determining whether or not to permit entry / exit to a predetermined area, such as opening / closing a gate or releasing a lock.
  • Patent Document 1 is a document that describes a face recognition system that determines the passage permission of a person.
  • Patent Document 1 describes a face recognition system having an image acquisition means, a storage means, a face matching means, and an authorization means.
  • the face matching means collates the face image of a person extracted from the input image taken by the image acquisition means with the registered face image stored by the storage means, and the person is registered in advance. Authenticate that you are a person.
  • the authorization means permits the passage of the person when the size of the area indicating the authenticated person in the input image is equal to or larger than a predetermined size.
  • Patent Document 2 describes that authentication is performed by determining the similarity between the iris code generated based on the image data and the iris code registered in advance.
  • iris authentication is preferable to face authentication from the viewpoint of authentication accuracy
  • iris authentication may take time to acquire an image.
  • an object of the present invention is to provide an authentication method, an authentication device, and a program that solves the problem that it is difficult to perform authentication accurately and efficiently in a device that controls the entrance of a person based on an authentication result. It is in.
  • An authentication device which is a form of the present disclosure, in order to achieve such an object
  • An authentication device that controls the entry of a person based on the result of the person's authentication process.
  • An acquisition unit that acquires flow rate information that indicates the congestion status of people, Based on the flow rate information acquired by the acquisition unit, a determination unit that determines an authentication method to be used when performing admission control processing, and a determination unit. It has a structure of having.
  • the authentication method which is another form of the present disclosure, An authentication device that controls the entry of a person based on the result of the person's authentication process Acquire flow rate information indicating the congestion status of people, Based on the acquired flow rate information, the authentication method used when performing the admission control process is determined.
  • the recording medium which is another form of the present disclosure is For an authentication device that controls the entrance of a person based on the result of the person authentication process, An acquisition unit that acquires flow rate information that indicates the congestion status of people, Based on the flow rate information acquired by the acquisition unit, a determination unit that determines an authentication method to be used when performing admission control processing, and a determination unit. It is a computer-readable recording medium on which a program for realizing the above is recorded.
  • FIG. 7 It is a figure which shows an example of the structure of the gate opening / closing system in the 1st Embodiment of this disclosure. It is a block diagram which shows an example of the structure of the authentication apparatus shown in FIG. It is a figure which shows an example of the feature amount information shown in FIG. It is a figure which shows an example of the flow rate information shown in FIG. It is a figure for demonstrating an example of processing by the authentication method determination part shown in FIG. It is a flowchart which shows an example of the operation of the authentication apparatus in 1st Embodiment of this disclosure. It is a block diagram which shows the other configuration example of an authentication apparatus. It is a figure which shows an example of the hardware block diagram of the authentication apparatus in the 2nd Embodiment of this disclosure. It is a block diagram which shows an example of the structure of the authentication apparatus shown in FIG. 7.
  • FIG. 1 is a diagram showing an example of the configuration of the gate opening / closing system 100.
  • FIG. 2 is a block diagram showing an example of the configuration of the authentication device 200.
  • FIG. 3 is a diagram showing an example of feature amount information 231.
  • FIG. 4 is a diagram showing an example of the flow rate information 232.
  • FIG. 5 is a diagram for explaining an example of processing by the authentication method determination unit 242.
  • FIG. 6 is a flowchart showing an example of the operation of the authentication device 200.
  • FIG. 7 is a block diagram showing another configuration example of the authentication device 200.
  • the gate opening / closing that controls the entrance of a person is performed by performing the authentication process based on the image data and opening / closing the gate 400 which is the opening / closing part that the person passes through when entering.
  • the system 100 will be described.
  • the gate opening / closing system 100 in the present disclosure acquires information indicating a congestion status around the gate 400 according to the number of people passing through the gate 400 (that is, the number of people entering the gate 400) and the like. Then, the gate opening / closing system 100 determines an authentication method to be used when performing the opening / closing process of the gate 400, which is an entrance control process, based on the acquired information. For example, the gate opening / closing system 100 determines whether to perform face authentication or iris authentication based on the acquired information.
  • FIG. 1 shows an example of the configuration of the gate opening / closing system 100.
  • the gate opening / closing system 100 includes, for example, an authentication device 200, a first camera 310, a second camera 320, and a gate 400.
  • the authentication device 200 and the first camera 310 are connected so as to be able to communicate with each other.
  • the authentication device 200 and the second camera 320 are connected so as to be able to communicate with each other.
  • the authentication device 200 and the gate 400 are connected so as to be able to communicate with each other.
  • the authentication device 200 controls the opening and closing of the gate 400 according to the result of iris recognition based on the iris image data taken by the first camera 310 and the result of face recognition based on the face image data taken by the second camera 320. It is an information processing device that controls the entrance of a person by means of.
  • FIG. 2 shows an example of the configuration of the authentication device 200. Referring to FIG. 2, the authentication device 200 has, for example, a screen display unit 210, a communication I / F unit 220, a storage unit 230, and an arithmetic processing unit 240 as main components.
  • the screen display unit 210 is composed of a screen display device such as an LCD (Liquid Crystal Display).
  • the screen display unit 210 responds to an instruction from the arithmetic processing unit 240, and receives face image data included in the face image information 233, iris image data included in the iris image information 234, and information indicating the result of authentication by the authentication unit 244. Various information such as is displayed on the screen.
  • the communication I / F unit 220 includes a data communication circuit.
  • the communication I / F unit 220 performs data communication with external devices such as the first camera 310, the second camera 320, and the gate 400, which are connected via a communication line.
  • the storage unit 230 is a storage device such as a hard disk or a memory.
  • the storage unit 230 stores processing information and a program 235 required for various processes in the arithmetic processing unit 240.
  • the program 235 realizes various processing units by reading and executing the arithmetic processing unit 240.
  • the program 235 is read in advance from an external device or a recording medium via a data input / output function such as the communication I / F unit 220, and is stored in the storage unit 230.
  • the main information stored in the storage unit 230 includes, for example, feature amount information 231 and flow rate information 232, face image information 233, and iris image information 234.
  • the feature amount information 231 includes information indicating the feature amount used when the authentication unit 244, which will be described later, performs face recognition or iris recognition.
  • the various feature amounts included in the feature amount information 231 are, for example, acquired in advance from an external device or the like and stored in the storage unit 230.
  • FIG. 3 shows an example of feature amount information 231.
  • the feature amount information 231 for example, an identifier for identifying a person, a feature amount for face recognition, and a feature amount for iris recognition are associated with each other.
  • the feature amount information 231 includes a feature amount for face recognition and a feature amount for iris recognition.
  • the feature amount for iris recognition may include only one of the feature amount of the right eye and the feature amount of the left eye, or may include both of them.
  • the flow rate information 232 includes information indicating the congestion status of people around the gate 400 and at the destination of the gate 400 according to the number of people passing through the gate 400 (that is, the number of people entering). For example, the flow rate information 232 indicates the number of people who have passed through the gate 400 at predetermined time intervals.
  • the information indicated by the flow rate information 232 is acquired by the flow rate information acquisition unit 241 or the like, which will be described later, and is stored in the storage unit 230.
  • FIG. 4 shows an example of the flow rate information 232.
  • the flow rate information 232 for example, the time and the number of passing people are associated with each other.
  • the flow rate information 232 includes information indicating the number of people who have passed through the gate 400 at predetermined time intervals. The number of people passing through corresponds to, for example, the number of times the gate 400 is opened. Therefore, the flow rate information 232 may include information indicating the number of times the gate 400 is opened instead of the number of passing people. In other words, the flow rate information 232 may be information based on the number of times the gate 400 is opened and closed.
  • the flow rate information 232 may include information other than those illustrated in FIG. 4, as long as it includes information indicating the congestion status around the gate 400.
  • the flow rate information 232 is information indicating the congestion status for each predetermined time zone (for example, it is crowded from xx to yy, which corresponds to the commuting time, and is vacant in the early morning and late night hours, etc.). It doesn't matter.
  • the information indicating the congestion status for each predetermined time zone may be, for example, estimated according to the past status.
  • the flow rate information 232 may include a plurality of types of information such as the information illustrated in FIG. 4 and the information indicating the congestion status for each time zone.
  • the face image information 233 includes face image data which is image data including a person's face taken by the second camera 320.
  • face image data is image data including a person's face taken by the second camera 320.
  • the face image data and the information indicating the time when the face image data is taken by the second camera 320 are associated with each other.
  • the iris image information 234 includes iris image data which is image data including the iris of a person taken by the first camera 310.
  • iris image data is image data including the iris of a person taken by the first camera 310.
  • the iris image data and the information indicating the time when the iris image data was taken by the first camera 310 are associated with each other.
  • the arithmetic processing unit 240 has a microprocessor such as an MPU and its peripheral circuits.
  • the arithmetic processing unit 240 realizes various processing units by coordinating the hardware and the program 235 by reading the program 235 from the storage unit 230 and executing the program 235.
  • the main processing units realized by the arithmetic processing unit 240 include, for example, a flow rate information acquisition unit 241, an authentication method determination unit 242, an image data acquisition unit 243, an authentication unit 244, and a gate opening / closing unit 245. be.
  • the flow rate information acquisition unit 241 acquires information indicating the congestion status around the gate 400 according to the number of people passing through the gate 400 and the like. For example, the flow rate information acquisition unit 241 measures the number of times the gate opening / closing unit 245 opens the gate 400 at predetermined time intervals. Then, the flow rate information acquisition unit 241 stores the information based on the measurement result in the storage unit 230 as the flow rate information 232. For example, as described above, the flow rate information acquisition unit 241 acquires the flow rate information 232 indicating the number of people passing through the gate 400 at predetermined time intervals.
  • the flow rate information acquisition unit 241 can acquire the above-mentioned information indicating the congestion status based on the image data indicating the situation around the gate 400 such as the face image information 233 taken by the second camera 320.
  • the flow rate information acquisition unit 241 can acquire the above information by extracting a person in the image data from the image data and counting the number of the extracted persons.
  • the flow rate information acquisition unit 241 may be configured to acquire the above-mentioned information indicating the congestion status based on the number of times the gate 400 is opened and closed.
  • the flow rate information acquisition unit 241 can acquire, for example, peripheral event information or the like from an external device or the like, or acquire information indicating the time as the information indicating the congestion situation described above.
  • the flow rate information acquisition unit 241 may be configured to acquire the information indicating the congestion status described above by any one or a plurality of methods of the above-exemplified methods.
  • the authentication method determination unit 242 determines the authentication method when opening / closing the gate 400 based on the flow rate information 232. For example, the authentication method determination unit 242 determines whether to perform face authentication or iris authentication when opening / closing the gate 400 based on the flow rate information 232.
  • the authentication method determination unit 242 authenticates either face authentication or iris authentication when opening / closing the gate 400 based on the number of people passing through the flow rate information 232 and a predetermined number of people threshold value. Decide whether to do. For example, when the number of passing persons is equal to or greater than the number of people threshold value, the authentication method determination unit 242 determines that the gate 400 is opened / closed based on the result of face authentication. That is, as shown in FIG. 5, when the number of passing people is equal to or greater than the number of people threshold value, the authentication method determination unit 242 determines that the flow rate is large and determines that face recognition is performed. As will be described later, the shooting of the face image data by the second camera 320 can be performed without the person stopping.
  • the authentication method determination unit 242 determines that the authentication method determination unit 242 performs face authentication, high-speed authentication can be performed when the flow rate is large.
  • the authentication method determination unit 242 determines that the gate 400 is opened / closed based on the result of the iris authentication. That is, as shown in FIG. 5, when the number of passing persons is less than the number of people threshold value, the authentication method determination unit 242 determines that the flow rate is small and determines that the iris authentication is performed.
  • the accuracy of authentication can be improved as compared with the case of performing face authentication.
  • the authentication method determination unit 242 determines to open / close the gate 400 based on the result of face recognition when it is determined that the vicinity of the gate is congested based on the flow rate information 232. do. Further, the authentication method determination unit 242 determines that the gate 400 is opened / closed based on the result of the iris authentication when it is determined that the vicinity of the gate is not congested based on the flow rate information 232.
  • the authentication method determination unit 242 may be configured to make the above determination by combining information indicating the time, for example.
  • the above-mentioned number of people threshold value may be a value that fluctuates according to the time of day.
  • the authentication method determination unit 242 determines a predetermined authentication method regardless of the number of passing people when the flow rate information 232 indicates that there is an event near the gate 400 or at a predetermined time such as midnight. It may be configured.
  • the authentication method determination unit 242 determines that face recognition is always performed when the flow rate information 232 indicates that there is an event near the gate 400 (passage destination of the gate 400), or at a predetermined time such as midnight. In that case, it can always be decided to perform iris recognition.
  • the authentication method determination unit 242 may be configured to perform any or a combination of the methods exemplified above.
  • the image data acquisition unit 243 acquires iris image data from the first camera 310 and facial image data from the second camera 320. Further, the image data acquisition unit 243 can control the image data acquisition destination based on the determination by the authentication method determination unit 242.
  • the image data acquisition unit 243 acquires face image data from the second camera 320. Then, the image data acquisition unit 243 stores the acquired face image data and the time when the face image data is taken in the storage unit 230 as face image information 233 in association with each other.
  • the image data acquisition unit 243 acquires the iris image data from the first camera 310. Then, the image data acquisition unit 243 stores the acquired iris image data and the time when the iris image data is taken in the storage unit 230 as iris image information 234 in association with each other.
  • the image data acquisition unit 243 acquires the iris image data from the first camera 310 or the face image data from the second camera 320 according to the determination by the authentication method determination unit 242. ..
  • the image data acquisition unit 243 can be configured to always acquire image data from the first camera 310 and the second camera 320 regardless of the determination by the authentication method determination unit 242.
  • the image data acquisition unit 243 acquires the iris image data from the first camera 310 and the face image data from the second camera 320 when the authentication method determination unit 242 determines to perform the iris authentication. It may be configured.
  • the authentication unit 244 uses the face image information 233 and the iris image information 234 to perform authentication by the authentication method determined by the authentication method determination unit 242.
  • the authentication unit 244 extracts a person to be authenticated from the face image data included in the face image information 233.
  • the authentication unit 244 extracts the feature points such as the eyes, nose, and mouth of the extracted person, and calculates the feature amount based on the extracted result.
  • the authentication unit 244 calculates the feature amount by examining whether or not the similarity between the calculated feature amount and the face recognition feature amount included in the feature amount information 231 exceeds the face comparison threshold. Is collated with the feature amount stored in the storage unit 230, and authentication is performed based on the collation result.
  • the authentication unit 244 opens the gate 400 assuming that the extracted person is registered. Judge to that effect.
  • the authentication unit 244 calculates the feature amount from the iris image data included in the iris image information 234. Then, the authentication unit 244 calculates the feature amount by examining whether or not the similarity between the calculated feature amount and the iris authentication feature amount included in the feature amount information 231 exceeds the iris comparison threshold. Is collated with the feature amount stored in the storage unit 230, and authentication is performed based on the collation result. For example, when the feature amount information 231 includes the feature amount for iris authentication whose similarity with the calculated feature amount is equal to or higher than the iris comparison threshold, the authentication unit 244 opens the gate 400 assuming that the extracted person is registered. Judge to that effect.
  • the authentication unit 244 performs face authentication or iris authentication according to the determination by the authentication method determination unit 242.
  • a general method may be adopted for the face authentication and the iris authentication performed by the authentication unit 244.
  • the gate opening / closing unit 245 instructs the gate 400 to open / close the gate 400 according to the result of the authentication by the authentication unit 244. For example, when the authentication unit 244 determines that the gate 400 is to be opened, the gate opening / closing unit 245 instructs the gate 400 to open the gate 400. Further, the gate opening / closing unit 245 can instruct the gate 400 to close the gate 400 when a predetermined condition is satisfied.
  • the conditions for closing the gate 400 are, for example, that if the authentication by the authentication unit 244 fails while the gate 400 is open, or if a predetermined time has passed since the gate 400 was opened, the person who has authenticated by the authentication unit 244 It is assumed that the passage is detected, the approach of a person or the like is detected at the gate 400, and the like.
  • the conditions for closing the gate 400 may be other than those illustrated above.
  • the gate opening / closing unit 245 may change the condition for closing the gate 400 based on the flow rate information 232 or the like.
  • the gate opening / closing unit 245 closes the gate each time it detects the passage of a person who has been authenticated by the authentication unit 244 when the number of passing persons indicated by the flow rate information 232 is equal to or less than a predetermined value, while the passage indicated by the flow rate information 232.
  • the number of people exceeds a predetermined value, it is possible to determine that the gate is not closed until the authentication by the authentication unit 244 fails.
  • the gate opening / closing unit 245 may make a determination using the flow rate information 232 other than the above-exemplified example.
  • the above is an example of the configuration of the authentication device 200.
  • the first camera 310 is a camera that captures iris image data of a person.
  • the first camera 310 is installed, for example, at the same height as the eyes of the person to be photographed, and photographs the iris of the person.
  • the iris is photographed by the first camera 310, for example, when a person stops in front of the first camera 310 (for example, a short distance of about 30 cm from the first camera 310).
  • the first camera 310 is configured to take iris image data at the timing when a person stops in front of the first camera 310 while the authentication method determination unit 242 determines to perform iris recognition, for example. Can be done.
  • the first camera 310 may be configured not to capture the iris image data while the authentication method determination unit 242 determines to perform face recognition.
  • the second camera 320 is a camera that captures face image data of a person.
  • the second camera 320 is installed above the first camera 310, for example, and photographs the face of a person.
  • the shooting of the face by the second camera 320 is performed, for example, without the person stopping.
  • the second camera 320 can be configured to capture face image data regardless of the decision made by the authentication method determination unit 242.
  • the second camera 320 may be configured to capture the face image data only while the authentication method determination unit 242 determines that the face recognition is performed.
  • the gate 400 functions as an opening / closing part through which a person enters a predetermined area.
  • the gate 400 performs a gate opening / closing process based on an instruction from the authentication device 200.
  • the configuration of the gate 400 may be a general one.
  • the authentication method determination unit 242 of the authentication device 200 performs the opening / closing process of the gate 400 based on the flow rate information 232. Determine the authentication method for. For example, when the number of people passing through the flow rate information 232 is equal to or greater than the number threshold value (step S102, Yes), the authentication method determination unit 242 determines to open / close the gate 400 based on the result of face recognition (step S103). ). In response to this, the image data acquisition unit 243 acquires face image data from the second camera 320.
  • the authentication unit 244 extracts a person to be authenticated from the face image data included in the face image information 233. In addition, the authentication unit 244 extracts the feature points such as the eyes, nose, and mouth of the extracted person, and calculates the feature amount based on the extracted result. Then, the authentication unit 244 calculates the feature amount by examining whether or not the similarity between the calculated feature amount and the face recognition feature amount included in the feature amount information 231 exceeds the face comparison threshold. Is collated with the feature amount stored in the storage unit 230, and authentication is performed based on the collation result (step S104).
  • the authentication unit 244 extracts. It is determined that the gate 400 is opened on the assumption that the person who has made the entry is registered. In response to this, the gate opening / closing unit 245 instructs the gate 400 to open the gate 400. As a result, the gate 400 opens the gate (step S105). On the other hand, if the authentication fails (step S104, No), the process of step S105 is not performed.
  • the authentication method determination unit 242 determines to open / close the gate 400 based on the result of the iris authentication (step S106). ). In response to this, the image data acquisition unit 243 acquires the iris image data from the first camera 310.
  • the authentication unit 244 calculates the feature amount from the iris image data included in the iris image information 234. Then, the authentication unit 244 calculates the feature amount by examining whether or not the similarity between the calculated feature amount and the iris authentication feature amount included in the feature amount information 231 exceeds the iris comparison threshold. Is collated with the feature amount stored in the storage unit 230, and authentication is performed based on the collation result (step S107).
  • the feature amount information 231 includes the feature amount for iris authentication whose similarity with the calculated feature amount is equal to or higher than the iris comparison threshold value, that is, when the authentication is successful (step S107, Yes)
  • the authentication unit 244 extracts. It is determined that the gate 400 is opened on the assumption that the person who has made the authentication is registered.
  • step S108 the process of step S108 is not performed.
  • the gate opening / closing unit 245 instructs the gate 400 to close the gate 400.
  • the gate 400 closes the gate (step S110).
  • the condition for closing the gate 400 is, for example, that if the authentication by the authentication unit 244 fails while the gate 400 is open, or if a predetermined time has passed since the gate 400 was opened, the authentication unit 244 performs the authentication. It is assumed that the passage of a person is detected, the approach of a person or the like is detected at the gate 400, and the like.
  • the conditions for closing the gate 400 may be other than those illustrated above.
  • the gate opening / closing unit 245 may change the condition for closing the gate 400 based on the flow rate information 232 or the like. For example, the gate opening / closing unit 245 closes the gate each time it detects the passage of a person who has been authenticated by the authentication unit 244 when the number of passing persons indicated by the flow rate information 232 is equal to or less than a predetermined value, while the passage indicated by the flow rate information 232. When the number of people exceeds a predetermined value, it is possible to determine that the gate is not closed until the authentication by the authentication unit 244 fails. If the condition is not satisfied (step S109, No), the process of step S110 is not performed.
  • step S101 After that, the process returns to step S101.
  • step S101, Yes the process of step S102 and below is repeated.
  • step S101, No the authentication device 200 ends the process until the visitors appear.
  • the above is an operation example of the authentication device 200.
  • the authentication device 200 has a flow rate information acquisition unit 241, an authentication method determination unit 242, and an authentication unit 244.
  • the authentication method determination unit 242 performs either face authentication or iris authentication authentication when opening / closing the gate 400 based on the flow rate information 232 stored by the flow rate information acquisition unit 241. You can decide whether to do it.
  • the authentication unit 244 can perform authentication by the authentication method determined by the authentication method determination unit 242.
  • face recognition is performed, while it is determined that the vicinity of the gate is not congested based on the flow rate information 232.
  • iris recognition it is possible to improve the speed of the authentication process at the time of congestion and improve the authentication accuracy when the situation is not congested. That is, according to the above configuration, it is possible to perform authentication accurately and efficiently.
  • FIG. 1 illustrates a case where the gate opening / closing system 100 has a first camera 310 and a second camera 320.
  • the gate opening / closing system 100 may have only one camera that captures the face image data and the iris image data, or may have a plurality of three or more cameras.
  • FIG. 1 a case where the authentication device 200 and the gate 400 are different devices has been described.
  • the function as the authentication device 200 may be incorporated in the gate 400.
  • the authentication device 200 may be composed of one information processing device or may be composed of a plurality of information processing devices.
  • one authentication device 200 may be configured to control the opening / closing of one gate 400 only, or one authentication device 200 may be configured to control the opening / closing of a plurality of gates 400. ..
  • the configuration of the gate opening / closing system 100 is not limited to the case illustrated in FIG. 1, and various modified examples can be adopted.
  • the authentication method determination unit 242 determines whether to perform face authentication or iris authentication.
  • the authentication method determination unit 242 may be configured to determine whether to perform face recognition or face recognition and iris recognition. That is, the authentication method determination unit 242 determines that face recognition is performed when it is determined that the vicinity of the gate is congested based on the flow rate information 232, while the vicinity of the gate is congested based on the flow rate information 232. It may be configured to decide to perform face recognition and iris recognition when it is determined that there is no such thing. In other words, the authentication method determination unit 242 can be configured to determine whether to perform face recognition or authentication processing including iris recognition based on the flow rate information 232.
  • the authentication device 200 can be configured to always perform face authentication and iris authentication.
  • the authentication method determination unit 242 can adjust the face comparison threshold and the iris comparison threshold used for authentication based on the flow rate information 232. For example, the authentication method determination unit 242 raises the face comparison threshold value and lowers the iris comparison threshold value when it is determined that the vicinity of the gate is congested based on the flow rate information 232, while lowering the iris comparison threshold value based on the flow rate information 232.
  • the face comparison threshold value may be lowered and the iris comparison threshold value may be increased. According to such a configuration, the ratio of face recognition can be increased when the vicinity of the gate is crowded, while the ratio of iris recognition can be increased when the vicinity of the gate is not crowded.
  • the authentication method determination unit 242 adjusts the face comparison threshold and the iris comparison threshold based on the flow rate information 232 to determine whether to perform face authentication or iris authentication. You can.
  • the authentication method determination unit 242 may be configured to determine whether to perform face authentication or iris authentication based on the flow rate information 232, and to adjust the face comparison threshold and the iris comparison threshold.
  • the authentication device 200 may have a configuration other than that illustrated in FIG.
  • the authentication device 200 can include a flow rate estimation unit 246 in addition to the configuration illustrated in FIG.
  • the flow rate estimation unit 246 can estimate the congestion situation based on the flow rate information 232.
  • the flow rate estimation unit 246 can estimate the congestion state after a lapse of a predetermined time based on the learning model learned in advance and the flow rate information 232.
  • the authentication method determination unit 242 is configured to determine whether to perform face authentication or iris authentication based on the estimation result by the flow rate estimation unit 246. Can be done.
  • the present invention may be applied when controlling the entrance of a person by, for example, controlling an opening / closing portion other than a gate such as a door.
  • the present invention is not limited to the case of controlling the opening / closing of the gate 400, and can be applied to various systems for controlling the entrance of a person.
  • FIGS. 8 and 9. 8 and 9 show an example of the configuration of the authentication device 500.
  • the authentication device 500 is an information processing device that controls the opening / closing process of the gate based on the result of the authentication process.
  • FIG. 8 shows an example of the hardware configuration of the authentication device 500. Referring to FIG. 8, the authentication device 500 has the following hardware configuration as an example. -CPU (Central Processing Unit) 501 (arithmetic unit) -ROM (Read Only Memory) 502 (storage device) -RAM (Random Access Memory) 503 (storage device) -Program group 504 loaded in RAM 503 A storage device 505 that stores the program group 504.
  • -CPU Central Processing Unit
  • 501 central Processing Unit
  • ROM Read Only Memory
  • RAM Random Access Memory
  • PROM Random Access Memory
  • the authentication device 500 can realize the functions as the acquisition unit 521 and the determination unit 522 shown in FIG. 9 by the CPU 501 acquiring the program group 504 and executing the program group 504.
  • the program group 504 is stored in, for example, a storage device 505 or a ROM 502 in advance, and the CPU 501 loads the program group 504 into a RAM 503 or the like and executes the program group 504 as needed.
  • the program group 504 may be supplied to the CPU 501 via the communication network 511, or may be stored in the recording medium 510 in advance, and the drive device 506 may read the program and supply the program to the CPU 501.
  • FIG. 8 shows an example of the hardware configuration of the authentication device 500.
  • the hardware configuration of the authentication device 500 is not limited to the above case.
  • the authentication device 500 may be configured from a part of the above-described configuration, such as not having the drive device 506.
  • the acquisition unit 521 acquires the flow rate information indicating the congestion status near the gate.
  • the determination unit 522 determines the authentication method to be used when opening / closing the gate based on the flow rate information acquired by the acquisition unit 521. For example, the determination unit 522 determines whether to perform face authentication or authentication processing including iris authentication when performing the gate opening / closing process.
  • the authentication device 500 has an acquisition unit 521 and a determination unit 522.
  • the determination unit 522 can determine the authentication method to be used when opening / closing the gate based on the flow rate information acquired by the acquisition unit 521. As a result, it becomes possible to perform the authentication process by using the authentication method according to the congestion situation. This makes it possible to perform authentication accurately and efficiently.
  • the above-mentioned authentication device 500 can be realized by incorporating a predetermined program into the authentication device 500.
  • the program according to another embodiment of the present invention includes an authentication device 500 that controls the opening / closing process of the gate based on the result of the authentication process, and an acquisition unit 521 that acquires flow rate information indicating a congestion status in the vicinity of the gate.
  • This is a program for realizing the determination unit 522 that determines the authentication method used when performing the gate opening / closing process based on the flow rate information acquired by the acquisition unit 521.
  • the authentication device 500 that controls the opening / closing process of the gate based on the result of the authentication process acquires the flow rate information indicating the congestion status in the vicinity of the gate, and the acquired flow rate. Based on the information, the authentication method used when opening and closing the gate is determined.
  • an invention of a program or an authentication method having the above-mentioned configuration can achieve the above-mentioned object of the present invention because it has the same action and effect as the above-mentioned authentication device 500.
  • (Appendix 1) An authentication device that controls the entry of a person based on the result of the person's authentication process.
  • An acquisition unit that acquires flow rate information that indicates the congestion status of people, Based on the flow rate information acquired by the acquisition unit, a determination unit that determines an authentication method to be used when performing admission control processing, and a determination unit.
  • Authentication device with. (Appendix 2) The authentication device described in Appendix 1 An authentication device that includes face authentication and an authentication process including iris authentication as an authentication method to be determined by the determination unit. (Appendix 3) The authentication device according to Appendix 1 or Appendix 2.
  • the determination unit is an authentication device that determines which of face authentication and authentication processing including iris authentication is performed based on the acquired flow rate information.
  • the authentication device according to any one of Supplementary note 1 to Supplementary note 3.
  • the determination unit is an authentication device that determines to perform face authentication when it is determined to be congested based on the acquired flow rate information.
  • the determination unit is an authentication device that determines to perform an authentication method including iris authentication when it is determined that the unit is not congested based on the acquired flow rate information.
  • the flow rate information is an authentication device that includes information indicating the number of people entering.
  • the authentication device according to any one of Supplementary note 1 to Supplementary note 6.
  • the acquisition unit is an authentication device that acquires the flow rate information based on the number of times the opening / closing unit is opened / closed when a person enters.
  • the flow rate information is an authentication device that includes information indicating a time.
  • the determination unit is an authentication device that adjusts a threshold value used when performing an authentication process based on the acquired flow rate information.
  • An authentication device that controls the entry of a person based on the result of the person's authentication process Acquire flow rate information indicating the congestion status of people, An authentication method that determines an authentication method to be used when performing admission control processing based on the acquired flow rate information.
  • An acquisition unit that acquires flow rate information that indicates the congestion status of people, Based on the flow rate information acquired by the acquisition unit, a determination unit that determines an authentication method to be used when performing admission control processing, and a determination unit.
  • a computer-readable recording medium that records programs to achieve this.
  • the programs described in each of the above embodiments and appendices may be stored in a storage device or recorded in a computer-readable recording medium.
  • the recording medium is a portable medium such as a flexible disk, an optical disk, a magneto-optical disk, and a semiconductor memory.
  • Gate opening / closing system 200 Authentication device 210 Screen display unit 220 Communication I / F unit 230 Storage unit 231 Feature amount information 232 Flow information 233 Face image information 234 Iridescent image information 235 Program 240 Calculation processing unit 241 Flow information acquisition unit 242 Authentication method determination Unit 243 Image data acquisition unit 244 Authentication unit 245 Gate opening / closing unit 310 First camera 320 Second camera 400 Gate 500 Authentication device 501 CPU 502 ROM 503 RAM 504 Program group 505 Storage device 506 Drive device 507 Communication interface 508 Input / output interface 509 Bus 510 Recording medium 511 Communication network 521 Acquisition unit 522 Determination unit

Abstract

The present invention provides an authentication device that controls the entry of a person on the basis of the result of authentication processing for that person, the authentication device including: an acquisition unit that acquires flow-rate information indicating the status of congestion of persons; and a determination unit that determines, on the basis of the flow-rate information acquired by the acquisition unit, an authentication method to be used when entry control processing is executed.

Description

認証装置Authentication device
 本発明は、認証装置、認証方法、記録媒体に関する。 The present invention relates to an authentication device, an authentication method, and a recording medium.
 顔認証や虹彩認証などの認証技術が知られている。このような認証は、例えば、ゲートの開閉やロックの解除など、所定エリアへの入退場の許可を行うか否か判断する際などに用いることが出来る。 Authentication technologies such as face recognition and iris recognition are known. Such authentication can be used, for example, when determining whether or not to permit entry / exit to a predetermined area, such as opening / closing a gate or releasing a lock.
 人物の通行許可を判定する顔認証システムについて記載された文献としては、例えば、特許文献1がある。特許文献1には、画像取得手段と、記憶手段と、顔照合手段と、認可手段と、を有する顔認証システムが記載されている。特許文献1によると、顔照合手段は、画像取得手段が撮影した入力画像から抽出された人物の顔画像と、記憶手段が記憶する登録顔画像とを照合して、人物が予め登録された利用者であることを認証する。また、認可手段は、入力画像における認証された人物を示す領域の大きさが所定以上のとき、人物の通行を許可する。 For example, Patent Document 1 is a document that describes a face recognition system that determines the passage permission of a person. Patent Document 1 describes a face recognition system having an image acquisition means, a storage means, a face matching means, and an authorization means. According to Patent Document 1, the face matching means collates the face image of a person extracted from the input image taken by the image acquisition means with the registered face image stored by the storage means, and the person is registered in advance. Authenticate that you are a person. Further, the authorization means permits the passage of the person when the size of the area indicating the authenticated person in the input image is equal to or larger than a predetermined size.
 また、上述のように、認証方法としては、特許文献1に記載されているような顔認証の他に、虹彩認証などがある。虹彩認証について記載された文献としては、例えば、特許文献2がある。特許文献2には、画像データに基づいて生成した虹彩コードと、予め登録してある虹彩コードと、の類似性を判断することで認証を行うことが記載されている。 Further, as described above, as the authentication method, in addition to the face authentication as described in Patent Document 1, there is an iris authentication and the like. As a document describing iris recognition, for example, there is Patent Document 2. Patent Document 2 describes that authentication is performed by determining the similarity between the iris code generated based on the image data and the iris code registered in advance.
特開2015-1790号公報Japanese Unexamined Patent Publication No. 2015-1790 特表平8-504979号Special table No. 8-504979
 特許文献1に記載のような顔認証の場合、他人を誤認識してしまうおそれがあるなど、特許文献2に記載されているような虹彩認証と比較して精度が少し低いという問題がある。一方、虹彩認証を行うためには、高精度な虹彩画像を取得する必要があるため、撮影の際に一度立ち止まるなど、顔認証を行うよりも画像撮影の際に時間がかかることが多い。その結果、顔認証を行うよりも認証の際に時間がかかっていた。 In the case of face recognition as described in Patent Document 1, there is a problem that the accuracy is a little lower than that of iris recognition as described in Patent Document 2, such as the possibility of erroneously recognizing another person. On the other hand, in order to perform iris recognition, it is necessary to acquire a highly accurate iris image, so it often takes longer to take an image than to perform face recognition, such as stopping once at the time of shooting. As a result, it took longer to authenticate than to perform face recognition.
 以上のように、認証精度の観点からは顔認証よりも虹彩認証の方が望ましいものの、虹彩認証は画像の取得に時間がかかるおそれがある、という問題があった。その結果、精度よく効率的に認証を行うことが難しい、という課題が生じていた。 As described above, although iris authentication is preferable to face authentication from the viewpoint of authentication accuracy, there is a problem that iris authentication may take time to acquire an image. As a result, there has been a problem that it is difficult to perform authentication accurately and efficiently.
 そこで、本発明の目的は、認証結果に基づいて人物の入場制御を行う装置において、精度よく効率的に認証を行うことが難しい、という課題を解決する認証方法、認証装置、プログラムを提供することにある。 Therefore, an object of the present invention is to provide an authentication method, an authentication device, and a program that solves the problem that it is difficult to perform authentication accurately and efficiently in a device that controls the entrance of a person based on an authentication result. It is in.
 かかる目的を達成するため本開示の一形態である認証装置は、
 人物の認証処理の結果に基づいて人物の入場を制御する認証装置であって、
 人物の混雑状況を示す流量情報を取得する取得部と、
 前記取得部が取得した前記流量情報に基づいて、入場制御処理を行う際に用いる認証方法を決定する決定部と、
 を有する
 という構成をとる。
An authentication device, which is a form of the present disclosure, in order to achieve such an object
An authentication device that controls the entry of a person based on the result of the person's authentication process.
An acquisition unit that acquires flow rate information that indicates the congestion status of people,
Based on the flow rate information acquired by the acquisition unit, a determination unit that determines an authentication method to be used when performing admission control processing, and a determination unit.
It has a structure of having.
 また、本開示の他の形態である認証方法は、
 人物の認証処理の結果に基づいて人物の入場を制御する認証装置が、
 人物の混雑状況を示す流量情報を取得し、
 取得した前記流量情報に基づいて、入場制御処理を行う際に用いる認証方法を決定する
 という構成をとる。
In addition, the authentication method, which is another form of the present disclosure,
An authentication device that controls the entry of a person based on the result of the person's authentication process
Acquire flow rate information indicating the congestion status of people,
Based on the acquired flow rate information, the authentication method used when performing the admission control process is determined.
 また、本開示の他の形態である記録媒体は、
 人物の認証処理の結果に基づいて人物の入場を制御する認証装置に、
 人物の混雑状況を示す流量情報を取得する取得部と、
 前記取得部が取得した前記流量情報に基づいて、入場制御処理を行う際に用いる認証方法を決定する決定部と、
 を実現するためのプログラムを記録した、コンピュータが読み取り可能な記録媒体である。
In addition, the recording medium which is another form of the present disclosure is
For an authentication device that controls the entrance of a person based on the result of the person authentication process,
An acquisition unit that acquires flow rate information that indicates the congestion status of people,
Based on the flow rate information acquired by the acquisition unit, a determination unit that determines an authentication method to be used when performing admission control processing, and a determination unit.
It is a computer-readable recording medium on which a program for realizing the above is recorded.
 上述したような各構成によると、認証結果に基づいて人物の入場制御を行う装置において、精度よく効率的に認証を行うことが可能な認証装置、認証方法、記録媒体を提供することが可能となる。 According to each configuration as described above, it is possible to provide an authentication device, an authentication method, and a recording medium capable of performing authentication accurately and efficiently in a device that controls the entrance of a person based on the authentication result. Become.
本開示の第1の実施形態におけるゲート開閉システムの構成の一例を示す図である。It is a figure which shows an example of the structure of the gate opening / closing system in the 1st Embodiment of this disclosure. 図1で示す認証装置の構成の一例を示すブロック図である。It is a block diagram which shows an example of the structure of the authentication apparatus shown in FIG. 図2で示す特徴量情報の一例を示す図である。It is a figure which shows an example of the feature amount information shown in FIG. 図2で示す流量情報の一例を示す図である。It is a figure which shows an example of the flow rate information shown in FIG. 図2で示す認証方法決定部による処理の一例を説明するための図である。It is a figure for demonstrating an example of processing by the authentication method determination part shown in FIG. 本開示の第1の実施形態における認証装置の動作の一例を示すフローチャートである。It is a flowchart which shows an example of the operation of the authentication apparatus in 1st Embodiment of this disclosure. 認証装置の他の構成例を示すブロック図である。It is a block diagram which shows the other configuration example of an authentication apparatus. 本開示の第2の実施形態における認証装置のハードウェア構成図の一例を示す図である。It is a figure which shows an example of the hardware block diagram of the authentication apparatus in the 2nd Embodiment of this disclosure. 図7で示す認証装置の構成の一例を示すブロック図である。It is a block diagram which shows an example of the structure of the authentication apparatus shown in FIG. 7.
[第1の実施形態]
 本開示の第1の実施形態について、図1から図7までを参照して説明する。図1は、ゲート開閉システム100の構成の一例を示す図である。図2は、認証装置200の構成の一例を示すブロック図である。図3は、特徴量情報231の一例を示す図である。図4は、流量情報232の一例を示す図である。図5は、認証方法決定部242による処理の一例を説明するための図である。図6は、認証装置200の動作の一例を示すフローチャートである。図7は、認証装置200の他の構成例を示すブロック図である。
[First Embodiment]
The first embodiment of the present disclosure will be described with reference to FIGS. 1 to 7. FIG. 1 is a diagram showing an example of the configuration of the gate opening / closing system 100. FIG. 2 is a block diagram showing an example of the configuration of the authentication device 200. FIG. 3 is a diagram showing an example of feature amount information 231. FIG. 4 is a diagram showing an example of the flow rate information 232. FIG. 5 is a diagram for explaining an example of processing by the authentication method determination unit 242. FIG. 6 is a flowchart showing an example of the operation of the authentication device 200. FIG. 7 is a block diagram showing another configuration example of the authentication device 200.
 本開示の第1の実施形態においては、画像データに基づく認証処理を行って、人物が入場する際に通る開閉部であるゲート400の開閉処理を行うことにより、人物の入場制御を行うゲート開閉システム100について説明する。後述するように、本開示におけるゲート開閉システム100では、ゲート400を通る人の数(つまり、入場する人の数)などに応じた、ゲート400周辺の混雑状況を示す情報を取得する。そして、ゲート開閉システム100は、取得した情報に基づいて、入場制御処理であるゲート400の開閉処理を行う際に用いる認証方法を決定する。例えば、ゲート開閉システム100は、取得した情報に基づいて、顔認証と虹彩認証のうちのいずれを行うか決定する。 In the first embodiment of the present disclosure, the gate opening / closing that controls the entrance of a person is performed by performing the authentication process based on the image data and opening / closing the gate 400 which is the opening / closing part that the person passes through when entering. The system 100 will be described. As will be described later, the gate opening / closing system 100 in the present disclosure acquires information indicating a congestion status around the gate 400 according to the number of people passing through the gate 400 (that is, the number of people entering the gate 400) and the like. Then, the gate opening / closing system 100 determines an authentication method to be used when performing the opening / closing process of the gate 400, which is an entrance control process, based on the acquired information. For example, the gate opening / closing system 100 determines whether to perform face authentication or iris authentication based on the acquired information.
 図1は、ゲート開閉システム100の構成の一例を示している。図1を参照すると、ゲート開閉システム100は、例えば、認証装置200と、第1カメラ310と、第2カメラ320と、ゲート400と、を有している。図1で示すように、認証装置200と第1カメラ310とは、互いに通信可能なよう接続されている。また、認証装置200と第2カメラ320とは、互いに通信可能なよう接続されている。また、認証装置200とゲート400とは、互いに通信可能なよう接続されている。 FIG. 1 shows an example of the configuration of the gate opening / closing system 100. Referring to FIG. 1, the gate opening / closing system 100 includes, for example, an authentication device 200, a first camera 310, a second camera 320, and a gate 400. As shown in FIG. 1, the authentication device 200 and the first camera 310 are connected so as to be able to communicate with each other. Further, the authentication device 200 and the second camera 320 are connected so as to be able to communicate with each other. Further, the authentication device 200 and the gate 400 are connected so as to be able to communicate with each other.
 認証装置200は、第1カメラ310が撮影した虹彩画像データに基づく虹彩認証の結果や第2カメラ320が撮影した顔画像データに基づく顔認証の結果に応じて、ゲート400の開閉を制御することにより人物の入場制御を行う情報処理装置である。図2は、認証装置200の構成の一例を示している。図2を参照すると、認証装置200は、主な構成要素として、例えば、画面表示部210と、通信I/F部220と、記憶部230と、演算処理部240と、を有している。 The authentication device 200 controls the opening and closing of the gate 400 according to the result of iris recognition based on the iris image data taken by the first camera 310 and the result of face recognition based on the face image data taken by the second camera 320. It is an information processing device that controls the entrance of a person by means of. FIG. 2 shows an example of the configuration of the authentication device 200. Referring to FIG. 2, the authentication device 200 has, for example, a screen display unit 210, a communication I / F unit 220, a storage unit 230, and an arithmetic processing unit 240 as main components.
 画面表示部210は、LCD(Liquid Crystal Display、液晶ディスプレイ)などの画面表示装置からなる。画面表示部210は、演算処理部240からの指示に応じて、顔画像情報233に含まれる顔画像データ、虹彩画像情報234に含まれる虹彩画像データ、認証部244による認証の結果を示す情報、などの各種情報を画面表示する。 The screen display unit 210 is composed of a screen display device such as an LCD (Liquid Crystal Display). The screen display unit 210 responds to an instruction from the arithmetic processing unit 240, and receives face image data included in the face image information 233, iris image data included in the iris image information 234, and information indicating the result of authentication by the authentication unit 244. Various information such as is displayed on the screen.
 通信I/F部220は、データ通信回路からなる。通信I/F部220は、通信回線を介して接続された第1カメラ310、第2カメラ320、ゲート400、などの外部装置との間でデータ通信を行う。 The communication I / F unit 220 includes a data communication circuit. The communication I / F unit 220 performs data communication with external devices such as the first camera 310, the second camera 320, and the gate 400, which are connected via a communication line.
 記憶部230は、ハードディスクやメモリなどの記憶装置である。記憶部230は、演算処理部240における各種処理に必要な処理情報やプログラム235を記憶する。プログラム235は、演算処理部240読み込まれて実行されることにより各種処理部を実現する。プログラム235は、通信I/F部220などのデータ入出力機能を介して外部装置や記録媒体から予め読み込まれ、記憶部230に保存されている。記憶部230で記憶される主な情報としては、例えば、特徴量情報231、流量情報232、顔画像情報233、虹彩画像情報234、などがある。 The storage unit 230 is a storage device such as a hard disk or a memory. The storage unit 230 stores processing information and a program 235 required for various processes in the arithmetic processing unit 240. The program 235 realizes various processing units by reading and executing the arithmetic processing unit 240. The program 235 is read in advance from an external device or a recording medium via a data input / output function such as the communication I / F unit 220, and is stored in the storage unit 230. The main information stored in the storage unit 230 includes, for example, feature amount information 231 and flow rate information 232, face image information 233, and iris image information 234.
 特徴量情報231は、後述する認証部244が顔認証や虹彩認証を行う際に用いる特徴量を示す情報を含んでいる。特徴量情報231に含まれる各種特徴量は、例えば、予め外部装置などから取得され、記憶部230に格納されている。 The feature amount information 231 includes information indicating the feature amount used when the authentication unit 244, which will be described later, performs face recognition or iris recognition. The various feature amounts included in the feature amount information 231 are, for example, acquired in advance from an external device or the like and stored in the storage unit 230.
 図3は、特徴量情報231の一例を示している。図3を参照すると、特徴量情報231では、例えば、人物を識別するための識別子と、顔認証用特徴量と、虹彩認証用特徴量と、が対応づけられている。このように、特徴量情報231には、顔認証用の特徴量と虹彩認証用の特徴量とが含まれている。なお、虹彩認証用特徴量は、右目の特徴量と左目の特徴量とのうちのいずれか一方のみを含んでいても構わないし、両方を含んでいても構わない。 FIG. 3 shows an example of feature amount information 231. Referring to FIG. 3, in the feature amount information 231, for example, an identifier for identifying a person, a feature amount for face recognition, and a feature amount for iris recognition are associated with each other. As described above, the feature amount information 231 includes a feature amount for face recognition and a feature amount for iris recognition. The feature amount for iris recognition may include only one of the feature amount of the right eye and the feature amount of the left eye, or may include both of them.
 流量情報232は、ゲート400を通る人の数(つまり、入場する人の数)などに応じた、ゲート400周辺やゲート400通過先における人物の混雑状況を示す情報を含んでいる。例えば、流量情報232は、所定時間ごとのゲート400を通過した人数を示している。流量情報232が示す情報は、後述する流量情報取得部241などにより取得され、記憶部230に格納される。 The flow rate information 232 includes information indicating the congestion status of people around the gate 400 and at the destination of the gate 400 according to the number of people passing through the gate 400 (that is, the number of people entering). For example, the flow rate information 232 indicates the number of people who have passed through the gate 400 at predetermined time intervals. The information indicated by the flow rate information 232 is acquired by the flow rate information acquisition unit 241 or the like, which will be described later, and is stored in the storage unit 230.
 図4は、流量情報232の一例を示している。図4を参照すると、流量情報232では、例えば、時刻と、通過人数と、が対応づけられている。このように、流量情報232には、所定時間ごとのゲート400を通過した人数を示す情報が含まれている。なお、通過人数は、例えば、ゲート400を開いた回数に対応する。そのため、流量情報232には、通過人数の代わりにゲート400を開いた回数などを示す情報が含まれていても構わない。換言すると、流量情報232は、ゲート400の開閉回数に基づく情報であっても構わない。 FIG. 4 shows an example of the flow rate information 232. With reference to FIG. 4, in the flow rate information 232, for example, the time and the number of passing people are associated with each other. As described above, the flow rate information 232 includes information indicating the number of people who have passed through the gate 400 at predetermined time intervals. The number of people passing through corresponds to, for example, the number of times the gate 400 is opened. Therefore, the flow rate information 232 may include information indicating the number of times the gate 400 is opened instead of the number of passing people. In other words, the flow rate information 232 may be information based on the number of times the gate 400 is opened and closed.
 なお、流量情報232は、ゲート400周辺の混雑状況を示す情報を含んでいれば、図4で例示した以外の情報を含んでも構わない。例えば、流量情報232は、所定時間帯ごとの混雑状況を示す情報(例えば、通勤時間にあたるxx時~yy時までは混んでいる、早朝や深夜の時間帯などは空いている、など)であっても構わない。所定時間帯ごとの混雑状況を示す情報は、例えば、過去の状況に応じて推定したものであって構わない。また、流量情報232には、図4で例示した情報と時間帯ごとの混雑状況を示す情報とを含むなど、複数種類の情報が含まれても構わない。 Note that the flow rate information 232 may include information other than those illustrated in FIG. 4, as long as it includes information indicating the congestion status around the gate 400. For example, the flow rate information 232 is information indicating the congestion status for each predetermined time zone (for example, it is crowded from xx to yy, which corresponds to the commuting time, and is vacant in the early morning and late night hours, etc.). It doesn't matter. The information indicating the congestion status for each predetermined time zone may be, for example, estimated according to the past status. Further, the flow rate information 232 may include a plurality of types of information such as the information illustrated in FIG. 4 and the information indicating the congestion status for each time zone.
 顔画像情報233は、第2カメラ320が撮影した、人物の顔を含む画像データである顔画像データを含んでいる。例えば、顔画像情報233では、顔画像データと、顔画像データを第2カメラ320が撮影した時刻を示す情報と、が対応づけられている。 The face image information 233 includes face image data which is image data including a person's face taken by the second camera 320. For example, in the face image information 233, the face image data and the information indicating the time when the face image data is taken by the second camera 320 are associated with each other.
 虹彩画像情報234は、第1カメラ310が撮影した、人物の虹彩を含む画像データである虹彩画像データを含んでいる。例えば、虹彩画像情報234では、虹彩画像データと、虹彩画像データを第1カメラ310が撮影した時刻を示す情報と、が対応づけられている。 The iris image information 234 includes iris image data which is image data including the iris of a person taken by the first camera 310. For example, in the iris image information 234, the iris image data and the information indicating the time when the iris image data was taken by the first camera 310 are associated with each other.
 演算処理部240は、MPUなどのマイクロプロセッサとその周辺回路を有する。演算処理部240は、記憶部230からプログラム235を読み込んで実行することにより、上記ハードウェアとプログラム235とを協働させて各種処理部を実現する。演算処理部240で実現される主な処理部としては、例えば、流量情報取得部241と、認証方法決定部242と、画像データ取得部243と、認証部244と、ゲート開閉部245と、がある。 The arithmetic processing unit 240 has a microprocessor such as an MPU and its peripheral circuits. The arithmetic processing unit 240 realizes various processing units by coordinating the hardware and the program 235 by reading the program 235 from the storage unit 230 and executing the program 235. The main processing units realized by the arithmetic processing unit 240 include, for example, a flow rate information acquisition unit 241, an authentication method determination unit 242, an image data acquisition unit 243, an authentication unit 244, and a gate opening / closing unit 245. be.
 流量情報取得部241は、ゲート400を通る人の数などに応じた、ゲート400周辺の混雑状況を示す情報を取得する。例えば、流量情報取得部241は、ゲート開閉部245がゲート400を開いた回数を予め定められた所定時間ごとに計測する。そして、流量情報取得部241は、計測結果に基づく情報を流量情報232として記憶部230に格納する。例えば、以上のように、流量情報取得部241は、所定時間ごとの、ゲート400を通る人の数を示す流量情報232を取得する。 The flow rate information acquisition unit 241 acquires information indicating the congestion status around the gate 400 according to the number of people passing through the gate 400 and the like. For example, the flow rate information acquisition unit 241 measures the number of times the gate opening / closing unit 245 opens the gate 400 at predetermined time intervals. Then, the flow rate information acquisition unit 241 stores the information based on the measurement result in the storage unit 230 as the flow rate information 232. For example, as described above, the flow rate information acquisition unit 241 acquires the flow rate information 232 indicating the number of people passing through the gate 400 at predetermined time intervals.
 なお、流量情報取得部241は、例えば、第2カメラ320が撮影した顔画像情報233などゲート400周辺の状況を示す画像データに基づいて、上述した混雑状況を示す情報を取得することが出来る。例えば、流量情報取得部241は、画像データから当該画像データ内の人物を抽出して抽出した人物の数をカウントすることで、上記情報を取得することが出来る。このように、流量情報取得部241は、ゲート400の開閉回数以外に基づいて、上述した混雑状況を示す情報を取得するよう構成しても構わない。また、流量情報取得部241は、上述した混雑状況を示す情報として、例えば、周辺のイベント情報などを外部装置などから取得したり、時刻を示す情報を取得したりすることが出来る。流量情報取得部241は、上記例示した方法のうちのいずれか1つ、または、複数の方法により上述した混雑状況を示す情報を取得するよう構成して構わない。 The flow rate information acquisition unit 241 can acquire the above-mentioned information indicating the congestion status based on the image data indicating the situation around the gate 400 such as the face image information 233 taken by the second camera 320. For example, the flow rate information acquisition unit 241 can acquire the above information by extracting a person in the image data from the image data and counting the number of the extracted persons. In this way, the flow rate information acquisition unit 241 may be configured to acquire the above-mentioned information indicating the congestion status based on the number of times the gate 400 is opened and closed. Further, the flow rate information acquisition unit 241 can acquire, for example, peripheral event information or the like from an external device or the like, or acquire information indicating the time as the information indicating the congestion situation described above. The flow rate information acquisition unit 241 may be configured to acquire the information indicating the congestion status described above by any one or a plurality of methods of the above-exemplified methods.
 認証方法決定部242は、流量情報232に基づいて、ゲート400の開閉処理を行う際の認証方法を決定する。例えば、認証方法決定部242は、流量情報232に基づいて、ゲート400の開閉処理を行う際に、顔認証と虹彩認証のどちらの認証を行うかを決定する。 The authentication method determination unit 242 determines the authentication method when opening / closing the gate 400 based on the flow rate information 232. For example, the authentication method determination unit 242 determines whether to perform face authentication or iris authentication when opening / closing the gate 400 based on the flow rate information 232.
 例えば、認証方法決定部242は、流量情報232に含まれる通過人数と、予め定められた人数閾値と、に基づいて、ゲート400の開閉処理を行う際に、顔認証と虹彩認証のどちらの認証を行うかを決定する。例えば、通過人数が人数閾値以上である場合、認証方法決定部242は、顔認証の結果に基づいてゲート400の開閉処理を行うと決定する。つまり、図5で示すように、通過人数が人数閾値以上である場合、認証方法決定部242は、流量が多いと判断して、顔認証を行うと決定する。後述するように、第2カメラ320による顔画像データの撮影は、人物が立ち止まることなく行うことが出来る。そのため、認証方法決定部242が顔認証を行う旨を決定することで、流量が多い場合に高速な認証を行うことが可能となる。一方、通過人数が人数閾値未満である場合、認証方法決定部242は、虹彩認証の結果に基づいてゲート400の開閉処理を行うと決定する。つまり、図5で示すように、通過人数が人数閾値未満である場合、認証方法決定部242は、流量が少ないと判断して、虹彩認証を行うと決定する。虹彩認証を行うことにより、顔認証を行う場合よりも認証の精度を上げることが出来る。 For example, the authentication method determination unit 242 authenticates either face authentication or iris authentication when opening / closing the gate 400 based on the number of people passing through the flow rate information 232 and a predetermined number of people threshold value. Decide whether to do. For example, when the number of passing persons is equal to or greater than the number of people threshold value, the authentication method determination unit 242 determines that the gate 400 is opened / closed based on the result of face authentication. That is, as shown in FIG. 5, when the number of passing people is equal to or greater than the number of people threshold value, the authentication method determination unit 242 determines that the flow rate is large and determines that face recognition is performed. As will be described later, the shooting of the face image data by the second camera 320 can be performed without the person stopping. Therefore, by determining that the authentication method determination unit 242 performs face authentication, high-speed authentication can be performed when the flow rate is large. On the other hand, when the number of passing persons is less than the number of people threshold value, the authentication method determination unit 242 determines that the gate 400 is opened / closed based on the result of the iris authentication. That is, as shown in FIG. 5, when the number of passing persons is less than the number of people threshold value, the authentication method determination unit 242 determines that the flow rate is small and determines that the iris authentication is performed. By performing iris authentication, the accuracy of authentication can be improved as compared with the case of performing face authentication.
 例えば、以上のように、認証方法決定部242は、流量情報232に基づいてゲート付近が混雑していると判断される場合に、顔認証の結果に基づいてゲート400の開閉処理を行うと決定する。また、認証方法決定部242は、流量情報232に基づいてゲート付近が混雑していないと判断される場合に、虹彩認証の結果に基づいてゲート400の開閉処理を行うと決定する。 For example, as described above, the authentication method determination unit 242 determines to open / close the gate 400 based on the result of face recognition when it is determined that the vicinity of the gate is congested based on the flow rate information 232. do. Further, the authentication method determination unit 242 determines that the gate 400 is opened / closed based on the result of the iris authentication when it is determined that the vicinity of the gate is not congested based on the flow rate information 232.
 なお、認証方法決定部242は、例えば、時刻を示す情報を組み合わせて、上記決定を行うよう構成しても構わない。例えば、上述した人数閾値は、時刻に応じて変動する値であっても構わない。また、認証方法決定部242は、ゲート400付近でイベントがあることを流量情報232が示す場合や深夜など所定の時刻である場合に、通過人数にかかわらず予め定められた認証方法を決定するよう構成しても構わない。例えば、認証方法決定部242は、ゲート400付近(ゲート400の通過先)でイベントがあることを流量情報232が示す場合は常に顔認証を行う旨を決定したり、深夜など所定の時刻である場合は常に虹彩認証を行う旨を決定したりすることが出来る。認証方法決定部242は、上記例示した方法のいずれか、または、組み合わせを行うよう構成して構わない。 Note that the authentication method determination unit 242 may be configured to make the above determination by combining information indicating the time, for example. For example, the above-mentioned number of people threshold value may be a value that fluctuates according to the time of day. Further, the authentication method determination unit 242 determines a predetermined authentication method regardless of the number of passing people when the flow rate information 232 indicates that there is an event near the gate 400 or at a predetermined time such as midnight. It may be configured. For example, the authentication method determination unit 242 determines that face recognition is always performed when the flow rate information 232 indicates that there is an event near the gate 400 (passage destination of the gate 400), or at a predetermined time such as midnight. In that case, it can always be decided to perform iris recognition. The authentication method determination unit 242 may be configured to perform any or a combination of the methods exemplified above.
 画像データ取得部243は、第1カメラ310から虹彩画像データを取得したり、第2カメラ320から顔画像データを取得したりする。また、画像データ取得部243は、認証方法決定部242による決定に基づいて、画像データの取得先を制御することが出来る。 The image data acquisition unit 243 acquires iris image data from the first camera 310 and facial image data from the second camera 320. Further, the image data acquisition unit 243 can control the image data acquisition destination based on the determination by the authentication method determination unit 242.
 例えば、認証方法決定部242が顔認証を行うと決定した場合、画像データ取得部243は、第2カメラ320から顔画像データを取得する。そして、画像データ取得部243は、取得した顔画像データと、顔画像データを撮影した時刻と、を対応付けて顔画像情報233として記憶部230に格納する。一方、認証方法決定部242が虹彩認証を行うと決定した場合、画像データ取得部243は、第1カメラ310から虹彩画像データを取得する。そして、画像データ取得部243は、取得した虹彩画像データと、虹彩画像データを撮影した時刻と、を対応付けて虹彩画像情報234として記憶部230に格納する。 For example, when the authentication method determination unit 242 determines to perform face authentication, the image data acquisition unit 243 acquires face image data from the second camera 320. Then, the image data acquisition unit 243 stores the acquired face image data and the time when the face image data is taken in the storage unit 230 as face image information 233 in association with each other. On the other hand, when the authentication method determination unit 242 determines that the iris authentication is performed, the image data acquisition unit 243 acquires the iris image data from the first camera 310. Then, the image data acquisition unit 243 stores the acquired iris image data and the time when the iris image data is taken in the storage unit 230 as iris image information 234 in association with each other.
 例えば、以上のように、画像データ取得部243は、認証方法決定部242による決定に応じて、第1カメラ310から虹彩画像データを取得したり第2カメラ320から顔画像データを取得したりする。 For example, as described above, the image data acquisition unit 243 acquires the iris image data from the first camera 310 or the face image data from the second camera 320 according to the determination by the authentication method determination unit 242. ..
 なお、画像データ取得部243は、認証方法決定部242による決定にかかわらず常に第1カメラ310や第2カメラ320から画像データを取得するよう構成することが出来る。例えば、画像データ取得部243は、認証方法決定部242が虹彩認証を行うと決定した場合に、第1カメラ310から虹彩画像データを取得するとともに、第2カメラ320から顔画像データを取得するよう構成しても構わない。 Note that the image data acquisition unit 243 can be configured to always acquire image data from the first camera 310 and the second camera 320 regardless of the determination by the authentication method determination unit 242. For example, the image data acquisition unit 243 acquires the iris image data from the first camera 310 and the face image data from the second camera 320 when the authentication method determination unit 242 determines to perform the iris authentication. It may be configured.
 認証部244は、顔画像情報233や虹彩画像情報234を用いて、認証方法決定部242が決定した認証方法による認証を行う。 The authentication unit 244 uses the face image information 233 and the iris image information 234 to perform authentication by the authentication method determined by the authentication method determination unit 242.
 例えば、認証方法決定部242が顔認証を行うと決定した場合、認証部244は、顔画像情報233に含まれる顔画像データから認証対象となる人物を抽出する。また、認証部244は、抽出した人物の目、鼻、口などの特徴点を抽出するとともに、抽出した結果に基づいて特徴量を算出する。そして、認証部244は、算出した特徴量と、特徴量情報231に含まれる顔認証用特徴量と、の類似度が顔比較閾値を超えているか否かを調べることなどにより、算出した特徴量と記憶部230に格納されている特徴量との照合を行い、照合の結果に基づく認証を行う。例えば、認証部244は、算出した特徴量との類似度が顔比較閾値以上になる顔認証用特徴量が特徴量情報231に含まれる場合、抽出した人物が登録されているとしてゲート400を開く旨を判断する。 For example, when the authentication method determination unit 242 determines to perform face authentication, the authentication unit 244 extracts a person to be authenticated from the face image data included in the face image information 233. In addition, the authentication unit 244 extracts the feature points such as the eyes, nose, and mouth of the extracted person, and calculates the feature amount based on the extracted result. Then, the authentication unit 244 calculates the feature amount by examining whether or not the similarity between the calculated feature amount and the face recognition feature amount included in the feature amount information 231 exceeds the face comparison threshold. Is collated with the feature amount stored in the storage unit 230, and authentication is performed based on the collation result. For example, when the feature amount information 231 includes a feature amount for face recognition whose similarity with the calculated feature amount is equal to or higher than the face comparison threshold, the authentication unit 244 opens the gate 400 assuming that the extracted person is registered. Judge to that effect.
 また、例えば、認証方法決定部242が虹彩認証を行うと決定した場合、認証部244は、虹彩画像情報234に含まれる虹彩画像データから特徴量を算出する。そして、認証部244は、算出した特徴量と、特徴量情報231に含まれる虹彩認証用特徴量と、の類似度が虹彩比較閾値を超えているか否かを調べることなどにより、算出した特徴量と記憶部230に格納されている特徴量との照合を行い、照合の結果に基づく認証を行う。例えば、認証部244は、算出した特徴量との類似度が虹彩比較閾値以上になる虹彩認証用特徴量が特徴量情報231に含まれる場合、抽出した人物が登録されているとしてゲート400を開く旨を判断する。 Further, for example, when the authentication method determination unit 242 determines that the iris authentication is performed, the authentication unit 244 calculates the feature amount from the iris image data included in the iris image information 234. Then, the authentication unit 244 calculates the feature amount by examining whether or not the similarity between the calculated feature amount and the iris authentication feature amount included in the feature amount information 231 exceeds the iris comparison threshold. Is collated with the feature amount stored in the storage unit 230, and authentication is performed based on the collation result. For example, when the feature amount information 231 includes the feature amount for iris authentication whose similarity with the calculated feature amount is equal to or higher than the iris comparison threshold, the authentication unit 244 opens the gate 400 assuming that the extracted person is registered. Judge to that effect.
 例えば、以上のように、認証部244は、認証方法決定部242による決定に応じて、顔認証、または、虹彩認証を行う。なお、上述したように、認証部244が行う顔認証や虹彩認証は、一般的な方法を採用して構わない。 For example, as described above, the authentication unit 244 performs face authentication or iris authentication according to the determination by the authentication method determination unit 242. As described above, a general method may be adopted for the face authentication and the iris authentication performed by the authentication unit 244.
 ゲート開閉部245は、認証部244による認証の結果に応じて、ゲート400に対してゲート400の開閉を指示する。例えば、ゲート開閉部245は、認証部244がゲート400を開く旨を判断すると、ゲート400を開く旨をゲート400に対して指示する。また、ゲート開閉部245は、予め定められた条件を満たした場合に、ゲート400を閉じる旨をゲート400に対して指示することが出来る。ゲート400を閉じる条件は、例えば、ゲート400が開かれている状態で認証部244による認証が失敗した場合、ゲート400を開いてから所定時間経過した場合、認証部244により認証を行った人物の通過を検出した場合、ゲート400に人物などの接近が検知された場合、などが想定される。なお、ゲート400を閉じる条件は、上記例示した以外であっても構わない。例えば、ゲート開閉部245は、流量情報232などに基づいてゲート400を閉じる条件を変更しても構わない。例えば、ゲート開閉部245は、流量情報232が示す通過人数が所定値以下の場合に認証部244により認証を行った人物の通過を検出するごとにゲートを閉じる一方で、流量情報232が示す通過人数が所定値を超えている場合に認証部244による認証が失敗するまでゲートを閉じない、というような判断を行うことが出来る。ゲート開閉部245は、上記例示した以外の流量情報232を用いた判断を行っても構わない。 The gate opening / closing unit 245 instructs the gate 400 to open / close the gate 400 according to the result of the authentication by the authentication unit 244. For example, when the authentication unit 244 determines that the gate 400 is to be opened, the gate opening / closing unit 245 instructs the gate 400 to open the gate 400. Further, the gate opening / closing unit 245 can instruct the gate 400 to close the gate 400 when a predetermined condition is satisfied. The conditions for closing the gate 400 are, for example, that if the authentication by the authentication unit 244 fails while the gate 400 is open, or if a predetermined time has passed since the gate 400 was opened, the person who has authenticated by the authentication unit 244 It is assumed that the passage is detected, the approach of a person or the like is detected at the gate 400, and the like. The conditions for closing the gate 400 may be other than those illustrated above. For example, the gate opening / closing unit 245 may change the condition for closing the gate 400 based on the flow rate information 232 or the like. For example, the gate opening / closing unit 245 closes the gate each time it detects the passage of a person who has been authenticated by the authentication unit 244 when the number of passing persons indicated by the flow rate information 232 is equal to or less than a predetermined value, while the passage indicated by the flow rate information 232. When the number of people exceeds a predetermined value, it is possible to determine that the gate is not closed until the authentication by the authentication unit 244 fails. The gate opening / closing unit 245 may make a determination using the flow rate information 232 other than the above-exemplified example.
 以上が、認証装置200の構成の一例である。 The above is an example of the configuration of the authentication device 200.
 第1カメラ310は、人物の虹彩画像データを撮影するカメラである。第1カメラ310は、例えば、撮影対象となる人物の目の高さと同程度の高さに設置されており、人物の虹彩を撮影する。第1カメラ310による虹彩の撮影は、例えば、第1カメラ310の前(例えば、第1カメラ310から30cm程度の近距離)で人物が立ち止まって行う。 The first camera 310 is a camera that captures iris image data of a person. The first camera 310 is installed, for example, at the same height as the eyes of the person to be photographed, and photographs the iris of the person. The iris is photographed by the first camera 310, for example, when a person stops in front of the first camera 310 (for example, a short distance of about 30 cm from the first camera 310).
 なお、第1カメラ310は、例えば、認証方法決定部242が虹彩認証を行うと決定している間に第1カメラ310の前に人物が立ち止まったタイミングで、虹彩画像データの撮影を行うよう構成することが出来る。第1カメラ310は、認証方法決定部242が顔認証を行うと決定している間、虹彩画像データの撮影を行わないよう構成しても構わない。 The first camera 310 is configured to take iris image data at the timing when a person stops in front of the first camera 310 while the authentication method determination unit 242 determines to perform iris recognition, for example. Can be done. The first camera 310 may be configured not to capture the iris image data while the authentication method determination unit 242 determines to perform face recognition.
 第2カメラ320は、人物の顔画像データを撮影するカメラである。第2カメラ320は、例えば、第1カメラ310の上方に設置されており、人物の顔を撮影する。第2カメラ320による顔の撮影は、例えば、人物が立ち止まることなく行われる。 The second camera 320 is a camera that captures face image data of a person. The second camera 320 is installed above the first camera 310, for example, and photographs the face of a person. The shooting of the face by the second camera 320 is performed, for example, without the person stopping.
 なお、第2カメラ320は、認証方法決定部242による決定にかかわらず顔画像データの撮影を行うよう構成することが出来る。第2カメラ320は、認証方法決定部242が顔認証を行うと決定している間のみ、顔画像データの撮影を行うと構成しても構わない。 Note that the second camera 320 can be configured to capture face image data regardless of the decision made by the authentication method determination unit 242. The second camera 320 may be configured to capture the face image data only while the authentication method determination unit 242 determines that the face recognition is performed.
 ゲート400は、人物が所定エリアに入場する際に通る開閉部として機能する。ゲート400は、認証装置200からの指示に基づいて、ゲート開閉処理を行う。ゲート400の構成は、一般的なもので構わない。 The gate 400 functions as an opening / closing part through which a person enters a predetermined area. The gate 400 performs a gate opening / closing process based on an instruction from the authentication device 200. The configuration of the gate 400 may be a general one.
 以上が、ゲート開閉システム100の構成の一例である。続いて、図6を参照して、認証装置200の動作例について説明する。 The above is an example of the configuration of the gate opening / closing system 100. Subsequently, an operation example of the authentication device 200 will be described with reference to FIG.
 図6を参照すると、ゲート400を通ろうとする入場者がいる場合(ステップS101、Yes)、認証装置200の認証方法決定部242は、流量情報232に基づいて、ゲート400の開閉処理を行う際の認証方法を決定する。例えば、流量情報232が示す通過人数が人数閾値以上である場合(ステップS102、Yes)、認証方法決定部242は、顔認証の結果に基づいてゲート400の開閉処理を行うと決定する(ステップS103)。これを受けて、画像データ取得部243は、第2カメラ320から顔画像データを取得する。 Referring to FIG. 6, when there is an attendee trying to pass through the gate 400 (step S101, Yes), the authentication method determination unit 242 of the authentication device 200 performs the opening / closing process of the gate 400 based on the flow rate information 232. Determine the authentication method for. For example, when the number of people passing through the flow rate information 232 is equal to or greater than the number threshold value (step S102, Yes), the authentication method determination unit 242 determines to open / close the gate 400 based on the result of face recognition (step S103). ). In response to this, the image data acquisition unit 243 acquires face image data from the second camera 320.
 認証部244は、顔画像情報233に含まれる顔画像データから認証対象となる人物を抽出する。また、認証部244は、抽出した人物の目、鼻、口などの特徴点を抽出するとともに、抽出した結果に基づいて特徴量を算出する。そして、認証部244は、算出した特徴量と、特徴量情報231に含まれる顔認証用特徴量と、の類似度が顔比較閾値を超えているか否かを調べることなどにより、算出した特徴量と記憶部230に格納されている特徴量との照合を行い、照合の結果に基づく認証を行う(ステップS104)。算出した特徴量との類似度が顔比較閾値以上になる顔認証用特徴量が特徴量情報231に含まれる場合、つまり、認証が成功した場合(ステップS104、Yes)、認証部244は、抽出した人物が登録されているとしてゲート400を開く旨を判断する。これに応じて、ゲート開閉部245は、ゲート400を開く旨をゲート400に対して指示する。その結果、ゲート400がゲートを開く(ステップS105)。一方、認証が失敗した場合(ステップS104、No)、ステップS105の処理は行われない。 The authentication unit 244 extracts a person to be authenticated from the face image data included in the face image information 233. In addition, the authentication unit 244 extracts the feature points such as the eyes, nose, and mouth of the extracted person, and calculates the feature amount based on the extracted result. Then, the authentication unit 244 calculates the feature amount by examining whether or not the similarity between the calculated feature amount and the face recognition feature amount included in the feature amount information 231 exceeds the face comparison threshold. Is collated with the feature amount stored in the storage unit 230, and authentication is performed based on the collation result (step S104). When the feature amount information 231 includes the feature amount for face recognition whose similarity with the calculated feature amount is equal to or higher than the face comparison threshold value, that is, when the authentication is successful (step S104, Yes), the authentication unit 244 extracts. It is determined that the gate 400 is opened on the assumption that the person who has made the entry is registered. In response to this, the gate opening / closing unit 245 instructs the gate 400 to open the gate 400. As a result, the gate 400 opens the gate (step S105). On the other hand, if the authentication fails (step S104, No), the process of step S105 is not performed.
 また、流量情報232が示す通過人数が人数閾値未満である場合(ステップS102、No)、認証方法決定部242は、虹彩認証の結果に基づいてゲート400の開閉処理を行うと決定する(ステップS106)。これを受けて、画像データ取得部243は、第1カメラ310から虹彩画像データを取得する。 Further, when the number of passing persons indicated by the flow rate information 232 is less than the number of people threshold value (step S102, No), the authentication method determination unit 242 determines to open / close the gate 400 based on the result of the iris authentication (step S106). ). In response to this, the image data acquisition unit 243 acquires the iris image data from the first camera 310.
 認証部244は、虹彩画像情報234に含まれる虹彩画像データから特徴量を算出する。そして、認証部244は、算出した特徴量と、特徴量情報231に含まれる虹彩認証用特徴量と、の類似度が虹彩比較閾値を超えているか否かを調べることなどにより、算出した特徴量と記憶部230に格納されている特徴量との照合を行い、照合の結果に基づく認証を行う(ステップS107)。算出した特徴量との類似度が虹彩比較閾値以上になる虹彩認証用特徴量が特徴量情報231に含まれる場合、つまり、認証に成功した場合(ステップS107、Yes)、認証部244は、抽出した人物が登録されているとしてゲート400を開く旨を判断する。これに応じて、ゲート開閉部245は、ゲート400を開く旨をゲート400に対して指示する。その結果、ゲート400がゲートを開く(ステップS108)。一方、認証が失敗した場合(ステップS107、No)、ステップS108の処理は行われない。 The authentication unit 244 calculates the feature amount from the iris image data included in the iris image information 234. Then, the authentication unit 244 calculates the feature amount by examining whether or not the similarity between the calculated feature amount and the iris authentication feature amount included in the feature amount information 231 exceeds the iris comparison threshold. Is collated with the feature amount stored in the storage unit 230, and authentication is performed based on the collation result (step S107). When the feature amount information 231 includes the feature amount for iris authentication whose similarity with the calculated feature amount is equal to or higher than the iris comparison threshold value, that is, when the authentication is successful (step S107, Yes), the authentication unit 244 extracts. It is determined that the gate 400 is opened on the assumption that the person who has made the authentication is registered. In response to this, the gate opening / closing unit 245 instructs the gate 400 to open the gate 400. As a result, the gate 400 opens the gate (step S108). On the other hand, if the authentication fails (steps S107, No), the process of step S108 is not performed.
 また、ゲート400が開かれた状態で所定の条件を満たす場合(ステップS109、Yes)、ゲート開閉部245は、ゲート400を閉じる旨をゲート400に対して指示する。その結果、ゲート400がゲートを閉じる(ステップS110)。なお、ゲート400を閉じる条件は、例えば、ゲート400が開かれている状態で認証部244による認証が失敗した場合、ゲート400を開いてから所定時間経過した場合、認証部244により認証を行った人物の通過を検出した場合、ゲート400に人物などの接近が検知された場合、などが想定される。なお、ゲート400を閉じる条件は、上記例示した以外であっても構わない。例えば、ゲート開閉部245は、流量情報232などに基づいてゲート400を閉じる条件を変更しても構わない。例えば、ゲート開閉部245は、流量情報232が示す通過人数が所定値以下の場合に認証部244により認証を行った人物の通過を検出するごとにゲートを閉じる一方で、流量情報232が示す通過人数が所定値を超えている場合に認証部244による認証が失敗するまでゲートを閉じない、というような判断を行うことが出来る。条件を満たさない場合(ステップS109、No)、ステップS110の処理は行われない。 Further, when a predetermined condition is satisfied with the gate 400 opened (step S109, Yes), the gate opening / closing unit 245 instructs the gate 400 to close the gate 400. As a result, the gate 400 closes the gate (step S110). The condition for closing the gate 400 is, for example, that if the authentication by the authentication unit 244 fails while the gate 400 is open, or if a predetermined time has passed since the gate 400 was opened, the authentication unit 244 performs the authentication. It is assumed that the passage of a person is detected, the approach of a person or the like is detected at the gate 400, and the like. The conditions for closing the gate 400 may be other than those illustrated above. For example, the gate opening / closing unit 245 may change the condition for closing the gate 400 based on the flow rate information 232 or the like. For example, the gate opening / closing unit 245 closes the gate each time it detects the passage of a person who has been authenticated by the authentication unit 244 when the number of passing persons indicated by the flow rate information 232 is equal to or less than a predetermined value, while the passage indicated by the flow rate information 232. When the number of people exceeds a predetermined value, it is possible to determine that the gate is not closed until the authentication by the authentication unit 244 fails. If the condition is not satisfied (step S109, No), the process of step S110 is not performed.
 その後、ステップS101の処理に戻る。入場者がいる場合(ステップS101、Yes)、上述したステップS102以下の処理が繰り返される。一方、入場者がいない場合(ステップS101、No)、認証装置200は、入場者が現れるまで処理を終了する。 After that, the process returns to step S101. When there are visitors (steps S101, Yes), the process of step S102 and below is repeated. On the other hand, when there are no visitors (steps S101, No), the authentication device 200 ends the process until the visitors appear.
 以上が、認証装置200の動作例である。 The above is an operation example of the authentication device 200.
 このように、認証装置200は、流量情報取得部241と、認証方法決定部242と、認証部244と、を有している。このような構成によると、認証方法決定部242は、流量情報取得部241により格納された流量情報232に基づいて、ゲート400の開閉処理を行う際に、顔認証と虹彩認証のどちらの認証を行うかを決定することが出来る。その結果、認証部244は認証方法決定部242が決定した認証方法により認証を行うことが出来る。これにより、例えば、流量情報232に基づいてゲート付近が混雑していると判断される場合に顔認証を行う一方で、流量情報232に基づいてゲート付近が混雑していないと判断される場合に虹彩認証を行うことが可能となる。その結果、混雑時に認証処理の速度を向上させつつ、混雑状況でない場合に認証精度を上げることが可能となる。つまり、上記構成によると、精度よく効率的に認証を行うことが可能となる。 As described above, the authentication device 200 has a flow rate information acquisition unit 241, an authentication method determination unit 242, and an authentication unit 244. According to such a configuration, the authentication method determination unit 242 performs either face authentication or iris authentication authentication when opening / closing the gate 400 based on the flow rate information 232 stored by the flow rate information acquisition unit 241. You can decide whether to do it. As a result, the authentication unit 244 can perform authentication by the authentication method determined by the authentication method determination unit 242. As a result, for example, when it is determined that the vicinity of the gate is congested based on the flow rate information 232, face recognition is performed, while it is determined that the vicinity of the gate is not congested based on the flow rate information 232. It becomes possible to perform iris recognition. As a result, it is possible to improve the speed of the authentication process at the time of congestion and improve the authentication accuracy when the situation is not congested. That is, according to the above configuration, it is possible to perform authentication accurately and efficiently.
 なお、ゲート開閉システム100の構成は、図1で例示した以外であっても構わない。例えば、図1では、ゲート開閉システム100が第1カメラ310と第2カメラ320とを有する場合について例示した。しかしながら、ゲート開閉システム100は、顔画像データと虹彩画像データとを撮影する1台のカメラのみを有しても構わないし、3台以上の複数のカメラを有しても構わない。また、図1では、認証装置200とゲート400とが異なる装置である場合について説明した。しかしながら、認証装置200としての機能がゲート400に組み込まれていても構わない。また、認証装置200は、1台の情報処理装置から構成されても構わないし、複数台の情報処理装置から構成されても構わない。また、1台の認証装置200で1つのゲート400の開閉制御のみを行うよう構成しても構わないし、1台の認証装置200で複数のゲート400の開閉制御を行うよう構成しても構わない。以上のように、ゲート開閉システム100の構成は図1で例示した場合に限定されず、様々な変形例を採用することが出来る。 The configuration of the gate opening / closing system 100 may be other than those illustrated in FIG. For example, FIG. 1 illustrates a case where the gate opening / closing system 100 has a first camera 310 and a second camera 320. However, the gate opening / closing system 100 may have only one camera that captures the face image data and the iris image data, or may have a plurality of three or more cameras. Further, in FIG. 1, a case where the authentication device 200 and the gate 400 are different devices has been described. However, the function as the authentication device 200 may be incorporated in the gate 400. Further, the authentication device 200 may be composed of one information processing device or may be composed of a plurality of information processing devices. Further, one authentication device 200 may be configured to control the opening / closing of one gate 400 only, or one authentication device 200 may be configured to control the opening / closing of a plurality of gates 400. .. As described above, the configuration of the gate opening / closing system 100 is not limited to the case illustrated in FIG. 1, and various modified examples can be adopted.
 また、本実施形態において、認証方法決定部242は、顔認証と虹彩認証のどちらの認証を行うかを決定するとした。しかしながら、認証方法決定部242は、顔認証を行うか、または、顔認証と虹彩認証とを行うか、を決定するよう構成しても構わない。つまり、認証方法決定部242は、流量情報232に基づいてゲート付近が混雑していると判断される場合に顔認証を行うと決定する一方で、流量情報232に基づいてゲート付近が混雑していないと判断される場合に顔認証と虹彩認証とを行うと決定するよう構成しても構わない。換言すると、認証方法決定部242は、流量情報232に基づいて、顔認証を行うか、または、虹彩認証を含む認証処理を行うか、を決定するよう構成することが出来る。 Further, in the present embodiment, the authentication method determination unit 242 determines whether to perform face authentication or iris authentication. However, the authentication method determination unit 242 may be configured to determine whether to perform face recognition or face recognition and iris recognition. That is, the authentication method determination unit 242 determines that face recognition is performed when it is determined that the vicinity of the gate is congested based on the flow rate information 232, while the vicinity of the gate is congested based on the flow rate information 232. It may be configured to decide to perform face recognition and iris recognition when it is determined that there is no such thing. In other words, the authentication method determination unit 242 can be configured to determine whether to perform face recognition or authentication processing including iris recognition based on the flow rate information 232.
 また、認証装置200は、常に顔認証と虹彩認証とを行うよう構成することが出来る。認証装置200が常に顔認証と虹彩認証とを行う場合、認証方法決定部242は、流量情報232に基づいて、認証を行う際に用いる顔比較閾値や虹彩比較閾値の調整を行うことが出来る。例えば、認証方法決定部242は、流量情報232に基づいてゲート付近が混雑していると判断される場合に顔比較閾値を高くして虹彩比較閾値を低くする一方で、流量情報232に基づいてゲート付近が混雑していないと判断される場合に顔比較閾値を低くして虹彩比較閾値を高くするよう構成しても構わない。このような構成によると、ゲート付近が混雑している際に顔認証の比率を高める一方で、ゲート付近が混雑していない際に虹彩認証の比率を高めることが出来る。 Further, the authentication device 200 can be configured to always perform face authentication and iris authentication. When the authentication device 200 always performs face authentication and iris authentication, the authentication method determination unit 242 can adjust the face comparison threshold and the iris comparison threshold used for authentication based on the flow rate information 232. For example, the authentication method determination unit 242 raises the face comparison threshold value and lowers the iris comparison threshold value when it is determined that the vicinity of the gate is congested based on the flow rate information 232, while lowering the iris comparison threshold value based on the flow rate information 232. When it is determined that the vicinity of the gate is not congested, the face comparison threshold value may be lowered and the iris comparison threshold value may be increased. According to such a configuration, the ratio of face recognition can be increased when the vicinity of the gate is crowded, while the ratio of iris recognition can be increased when the vicinity of the gate is not crowded.
 なお、例えば、顔認証のみを行う場合、虹彩比較閾値が0である状態であるということも出来る。そのため、認証方法決定部242は、流量情報232に基づいて顔比較閾値や虹彩比較閾値の調整を行うことで、顔認証と虹彩認証のどちらの認証を行うかを決定している、ということも出来る。認証方法決定部242は、流量情報232に基づいて、顔認証と虹彩認証のどちらの認証を行うかを決定するとともに、顔比較閾値や虹彩比較閾値の調整を行うよう構成しても構わない。 Note that, for example, when only face recognition is performed, it can be said that the iris comparison threshold value is 0. Therefore, the authentication method determination unit 242 adjusts the face comparison threshold and the iris comparison threshold based on the flow rate information 232 to determine whether to perform face authentication or iris authentication. You can. The authentication method determination unit 242 may be configured to determine whether to perform face authentication or iris authentication based on the flow rate information 232, and to adjust the face comparison threshold and the iris comparison threshold.
 また、認証装置200は、図2で例示した以外の構成を有しても構わない。例えば、図7を参照すると、認証装置200は、図2で例示した構成に加えて、流量推定部246を有することが出来る。流量推定部246は、流量情報232に基づく混雑状況の推定を行うことが出来る。例えば、流量推定部246は、事前に学習した学習モデルと流量情報232とに基づいて、所定時間経過後の混雑状況を推定することが出来る。認証装置200が流量推定部246を有する場合、認証方法決定部242は、流量推定部246による推定の結果に基づいて、顔認証と虹彩認証のどちらの認証を行うかを決定するよう構成することが出来る。 Further, the authentication device 200 may have a configuration other than that illustrated in FIG. For example, referring to FIG. 7, the authentication device 200 can include a flow rate estimation unit 246 in addition to the configuration illustrated in FIG. The flow rate estimation unit 246 can estimate the congestion situation based on the flow rate information 232. For example, the flow rate estimation unit 246 can estimate the congestion state after a lapse of a predetermined time based on the learning model learned in advance and the flow rate information 232. When the authentication device 200 has the flow rate estimation unit 246, the authentication method determination unit 242 is configured to determine whether to perform face authentication or iris authentication based on the estimation result by the flow rate estimation unit 246. Can be done.
 また、本実施形態においては、開閉部の1つであるゲートの開閉処理を行うことで、人物の入場制御を行う場合について説明した。しかしながら、本発明は、例えばドアなどゲート以外の開閉部を制御することなどにより人物の入場制御を行う際に適用しても構わない。換言すると、本発明は、ゲート400の開閉制御を行う場合に限定されず、人物の入場制御を行うさまざまなシステムに適用することが出来る。 Further, in the present embodiment, a case where the entrance control of a person is performed by opening / closing the gate, which is one of the opening / closing parts, has been described. However, the present invention may be applied when controlling the entrance of a person by, for example, controlling an opening / closing portion other than a gate such as a door. In other words, the present invention is not limited to the case of controlling the opening / closing of the gate 400, and can be applied to various systems for controlling the entrance of a person.
[第2の実施形態]
 次に、本発明の第2の実施形態について、図8、図9を参照して説明する。図8、図9は、認証装置500の構成の一例を示している。
[Second Embodiment]
Next, a second embodiment of the present invention will be described with reference to FIGS. 8 and 9. 8 and 9 show an example of the configuration of the authentication device 500.
 認証装置500は、認証処理の結果に基づいてゲートの開閉処理を制御する情報処理装置である。図8は、認証装置500のハードウェア構成の一例を示している。図8を参照すると、認証装置500は、一例として、以下のようなハードウェア構成を有している。
 ・CPU(Central Processing Unit)501(演算装置)
 ・ROM(Read Only Memory)502(記憶装置)
 ・RAM(Random Access Memory)503(記憶装置)
 ・RAM503にロードされるプログラム群504
 ・プログラム群504を格納する記憶装置505
 ・情報処理装置外部の記録媒体510の読み書きを行うドライブ装置506
 ・情報処理装置外部の通信ネットワーク511と接続する通信インタフェース507
 ・データの入出力を行う入出力インタフェース508
 ・各構成要素を接続するバス509
The authentication device 500 is an information processing device that controls the opening / closing process of the gate based on the result of the authentication process. FIG. 8 shows an example of the hardware configuration of the authentication device 500. Referring to FIG. 8, the authentication device 500 has the following hardware configuration as an example.
-CPU (Central Processing Unit) 501 (arithmetic unit)
-ROM (Read Only Memory) 502 (storage device)
-RAM (Random Access Memory) 503 (storage device)
-Program group 504 loaded in RAM 503
A storage device 505 that stores the program group 504.
-Drive device 506 that reads and writes the recording medium 510 outside the information processing device
-Communication interface 507 that connects to the communication network 511 outside the information processing device
-I / O interface 508 for inputting / outputting data
-Bus 509 connecting each component
 また、認証装置500は、プログラム群504をCPU501が取得して当該CPU501が実行することで、図9に示す取得部521や決定部522としての機能を実現することが出来る。なお、プログラム群504は、例えば、予め記憶装置505やROM502に格納されており、必要に応じてCPU501がRAM503などにロードして実行する。また、プログラム群504は、通信ネットワーク511を介してCPU501に供給されてもよいし、予め記録媒体510に格納されており、ドライブ装置506が該プログラムを読み出してCPU501に供給してもよい。 Further, the authentication device 500 can realize the functions as the acquisition unit 521 and the determination unit 522 shown in FIG. 9 by the CPU 501 acquiring the program group 504 and executing the program group 504. The program group 504 is stored in, for example, a storage device 505 or a ROM 502 in advance, and the CPU 501 loads the program group 504 into a RAM 503 or the like and executes the program group 504 as needed. Further, the program group 504 may be supplied to the CPU 501 via the communication network 511, or may be stored in the recording medium 510 in advance, and the drive device 506 may read the program and supply the program to the CPU 501.
 なお、図8は、認証装置500のハードウェア構成の一例を示している。認証装置500のハードウェア構成は上述した場合に限定されない。例えば、認証装置500は、ドライブ装置506を有さないなど、上述した構成の一部から構成されてもよい。 Note that FIG. 8 shows an example of the hardware configuration of the authentication device 500. The hardware configuration of the authentication device 500 is not limited to the above case. For example, the authentication device 500 may be configured from a part of the above-described configuration, such as not having the drive device 506.
 取得部521は、ゲート付近の混雑状況を示す流量情報を取得する。 The acquisition unit 521 acquires the flow rate information indicating the congestion status near the gate.
 決定部522は、取得部521が取得した流量情報に基づいて、ゲートの開閉処理を行う際に用いる認証方法を決定する。例えば、決定部522は、ゲートの開閉処理を行う際に、顔認証を行うか、または、虹彩認証を含む認証処理を行うか、を決定する。 The determination unit 522 determines the authentication method to be used when opening / closing the gate based on the flow rate information acquired by the acquisition unit 521. For example, the determination unit 522 determines whether to perform face authentication or authentication processing including iris authentication when performing the gate opening / closing process.
 このように、認証装置500は、取得部521と決定部522とを有している。このような構成により、決定部522は、取得部521が取得した流量情報に基づいて、ゲートの開閉処理を行う際に用いる認証方法を決定することが出来る。その結果、混雑状況に応じた認証方法を用いて認証処理を行うことが可能となる。これにより、精度よく効率的に認証を行うことが可能となる。 As described above, the authentication device 500 has an acquisition unit 521 and a determination unit 522. With such a configuration, the determination unit 522 can determine the authentication method to be used when opening / closing the gate based on the flow rate information acquired by the acquisition unit 521. As a result, it becomes possible to perform the authentication process by using the authentication method according to the congestion situation. This makes it possible to perform authentication accurately and efficiently.
 なお、上述した認証装置500は、当該認証装置500に所定のプログラムが組み込まれることで実現できる。具体的に、本発明の他の形態であるプログラムは、認証処理の結果に基づいてゲートの開閉処理を制御する認証装置500に、ゲート付近の混雑状況を示す流量情報を取得する取得部521と、取得部521が取得した流量情報に基づいて、ゲートの開閉処理を行う際に用いる認証方法を決定する決定部522と、を実現するためのプログラムである。 The above-mentioned authentication device 500 can be realized by incorporating a predetermined program into the authentication device 500. Specifically, the program according to another embodiment of the present invention includes an authentication device 500 that controls the opening / closing process of the gate based on the result of the authentication process, and an acquisition unit 521 that acquires flow rate information indicating a congestion status in the vicinity of the gate. This is a program for realizing the determination unit 522 that determines the authentication method used when performing the gate opening / closing process based on the flow rate information acquired by the acquisition unit 521.
 また、上述した認証装置500により実行される認証方法は、認証処理の結果に基づいてゲートの開閉処理を制御する認証装置500が、ゲート付近の混雑状況を示す流量情報を取得し、取得した流量情報に基づいて、ゲートの開閉処理を行う際に用いる認証方法を決定する、という方法である。 Further, in the authentication method executed by the above-mentioned authentication device 500, the authentication device 500 that controls the opening / closing process of the gate based on the result of the authentication process acquires the flow rate information indicating the congestion status in the vicinity of the gate, and the acquired flow rate. Based on the information, the authentication method used when opening and closing the gate is determined.
 上述した構成を有する、プログラム、又は、認証方法、の発明であっても、上記認証装置500と同様の作用・効果を有するために、上述した本発明の目的を達成することが出来る。 Even an invention of a program or an authentication method having the above-mentioned configuration can achieve the above-mentioned object of the present invention because it has the same action and effect as the above-mentioned authentication device 500.
 <付記>
 上記実施形態の一部又は全部は、以下の付記のようにも記載されうる。以下、本発明における認証方法などの概略を説明する。但し、本発明は、以下の構成に限定されない。
<Additional notes>
Part or all of the above embodiments may also be described as in the appendix below. Hereinafter, the outline of the authentication method and the like in the present invention will be described. However, the present invention is not limited to the following configurations.
(付記1)
 人物の認証処理の結果に基づいて人物の入場を制御する認証装置であって、
 人物の混雑状況を示す流量情報を取得する取得部と、
 前記取得部が取得した前記流量情報に基づいて、入場制御処理を行う際に用いる認証方法を決定する決定部と、
 を有する
 認証装置。
(付記2)
 付記1に記載の認証装置であって、
 前記決定部が決定する対象となる認証方法には、顔認証と、虹彩認証を含む認証処理と、が含まれている
 認証装置。
(付記3)
 付記1または付記2に記載の認証装置であって、
 前記決定部は、取得した前記流量情報に基づいて、顔認証と、虹彩認証を含む認証処理と、のうちのいずれの認証を行うかを決定する
 認証装置。
(付記4)
 付記1から付記3までのいずれか1項に記載の認証装置であって、
 前記決定部は、取得した前記流量情報に基づいて混雑していると判断される場合に、顔認証を行うと決定する
 認証装置。
(付記5)
 付記1から付記4までのいずれか1項に記載の認証装置であって、
 前記決定部は、取得した前記流量情報に基づいて混雑していないと判断される場合に、虹彩認証を含む認証方法を行うと決定する
 認証装置。
(付記6)
 付記1から付記5までのいずれか1項に記載の認証装置であって、
 前記流量情報は、入場する人の数を示す情報を含んでいる
 認証装置。
(付記7)
 付記1から付記6までのいずれか1項に記載の認証装置であって、
 前記取得部は、人物が入場する際に通る開閉部の開閉回数に基づいて前記流量情報を取得する
 認証装置。
(付記8)
 付記1から付記7までのいずれか1項に記載の認証装置であって、
 前記流量情報は、時刻を示す情報を含んでいる
 認証装置。
(付記9)
 付記1から付記8までのいずれか1項に記載の認証装置であって、
 前記決定部は、取得した前記流量情報に基づいて、認証処理を行う際に用いる閾値を調整する
 認証装置。
(付記10)
 人物の認証処理の結果に基づいて人物の入場を制御する認証装置が、
 人物の混雑状況を示す流量情報を取得し、
 取得した前記流量情報に基づいて、入場制御処理を行う際に用いる認証方法を決定する
 認証方法。
(付記11)
 人物の認証処理の結果に基づいて人物の入場を制御する認証装置に、
 人物の混雑状況を示す流量情報を取得する取得部と、
 前記取得部が取得した前記流量情報に基づいて、入場制御処理を行う際に用いる認証方法を決定する決定部と、
 を実現するためのプログラムを記録した、コンピュータが読み取り可能な記録媒体。
(Appendix 1)
An authentication device that controls the entry of a person based on the result of the person's authentication process.
An acquisition unit that acquires flow rate information that indicates the congestion status of people,
Based on the flow rate information acquired by the acquisition unit, a determination unit that determines an authentication method to be used when performing admission control processing, and a determination unit.
Authentication device with.
(Appendix 2)
The authentication device described in Appendix 1
An authentication device that includes face authentication and an authentication process including iris authentication as an authentication method to be determined by the determination unit.
(Appendix 3)
The authentication device according to Appendix 1 or Appendix 2.
The determination unit is an authentication device that determines which of face authentication and authentication processing including iris authentication is performed based on the acquired flow rate information.
(Appendix 4)
The authentication device according to any one of Supplementary note 1 to Supplementary note 3.
The determination unit is an authentication device that determines to perform face authentication when it is determined to be congested based on the acquired flow rate information.
(Appendix 5)
The authentication device according to any one of Supplementary note 1 to Supplementary note 4.
The determination unit is an authentication device that determines to perform an authentication method including iris authentication when it is determined that the unit is not congested based on the acquired flow rate information.
(Appendix 6)
The authentication device according to any one of Supplementary note 1 to Supplementary note 5.
The flow rate information is an authentication device that includes information indicating the number of people entering.
(Appendix 7)
The authentication device according to any one of Supplementary note 1 to Supplementary note 6.
The acquisition unit is an authentication device that acquires the flow rate information based on the number of times the opening / closing unit is opened / closed when a person enters.
(Appendix 8)
The authentication device according to any one of Supplementary note 1 to Supplementary note 7.
The flow rate information is an authentication device that includes information indicating a time.
(Appendix 9)
The authentication device according to any one of Supplementary note 1 to Supplementary note 8.
The determination unit is an authentication device that adjusts a threshold value used when performing an authentication process based on the acquired flow rate information.
(Appendix 10)
An authentication device that controls the entry of a person based on the result of the person's authentication process
Acquire flow rate information indicating the congestion status of people,
An authentication method that determines an authentication method to be used when performing admission control processing based on the acquired flow rate information.
(Appendix 11)
For an authentication device that controls the entrance of a person based on the result of the person authentication process,
An acquisition unit that acquires flow rate information that indicates the congestion status of people,
Based on the flow rate information acquired by the acquisition unit, a determination unit that determines an authentication method to be used when performing admission control processing, and a determination unit.
A computer-readable recording medium that records programs to achieve this.
 なお、上記各実施形態及び付記において記載したプログラムは、記憶装置に記憶されていたり、コンピュータが読み取り可能な記録媒体に記録されていたりする。例えば、記録媒体は、フレキシブルディスク、光ディスク、光磁気ディスク、及び、半導体メモリ等の可搬性を有する媒体である。 Note that the programs described in each of the above embodiments and appendices may be stored in a storage device or recorded in a computer-readable recording medium. For example, the recording medium is a portable medium such as a flexible disk, an optical disk, a magneto-optical disk, and a semiconductor memory.
 以上、上記各実施形態を参照して本願発明を説明したが、本願発明は、上述した実施形態に限定されるものではない。本願発明の構成や詳細には、本願発明の範囲内で当業者が理解しうる様々な変更をすることが出来る。 Although the invention of the present application has been described above with reference to each of the above embodiments, the invention of the present application is not limited to the above-described embodiment. Various changes that can be understood by those skilled in the art can be made to the structure and details of the present invention within the scope of the present invention.
 なお、本発明は、日本国にて2020年4月9日に特許出願された特願2020-070449の特許出願に基づく優先権主張の利益を享受するものであり、当該特許出願に記載された内容は、全て本明細書に含まれるものとする。 The present invention enjoys the benefit of priority claim based on the patent application of Japanese Patent Application No. 2020-070449, which was filed in Japan on April 9, 2020, and is described in the patent application. All contents are included in this specification.
100 ゲート開閉システム
200 認証装置
210 画面表示部
220 通信I/F部
230 記憶部
231 特徴量情報
232 流量情報
233 顔画像情報
234 虹彩画像情報
235 プログラム
240 演算処理部
241 流量情報取得部
242 認証方法決定部
243 画像データ取得部
244 認証部
245 ゲート開閉部
310 第1カメラ
320 第2カメラ
400 ゲート
500 認証装置
501 CPU
502 ROM
503 RAM
504 プログラム群
505 記憶装置
506 ドライブ装置
507 通信インタフェース
508 入出力インタフェース
509 バス
510 記録媒体
511 通信ネットワーク
521 取得部
522 決定部

 
100 Gate opening / closing system 200 Authentication device 210 Screen display unit 220 Communication I / F unit 230 Storage unit 231 Feature amount information 232 Flow information 233 Face image information 234 Iridescent image information 235 Program 240 Calculation processing unit 241 Flow information acquisition unit 242 Authentication method determination Unit 243 Image data acquisition unit 244 Authentication unit 245 Gate opening / closing unit 310 First camera 320 Second camera 400 Gate 500 Authentication device 501 CPU
502 ROM
503 RAM
504 Program group 505 Storage device 506 Drive device 507 Communication interface 508 Input / output interface 509 Bus 510 Recording medium 511 Communication network 521 Acquisition unit 522 Determination unit

Claims (11)

  1.  人物の認証処理の結果に基づいて人物の入場を制御する認証装置であって、
     人物の混雑状況を示す流量情報を取得する取得部と、
     前記取得部が取得した前記流量情報に基づいて、入場制御処理を行う際に用いる認証方法を決定する決定部と、
     を有する
     認証装置。
    An authentication device that controls the entry of a person based on the result of the person's authentication process.
    An acquisition unit that acquires flow rate information that indicates the congestion status of people,
    Based on the flow rate information acquired by the acquisition unit, a determination unit that determines an authentication method to be used when performing admission control processing, and a determination unit.
    Authentication device with.
  2.  請求項1に記載の認証装置であって、
     前記決定部が決定する対象となる認証方法には、顔認証と、虹彩認証を含む認証処理と、が含まれている
     認証装置。
    The authentication device according to claim 1.
    An authentication device that includes face authentication and an authentication process including iris authentication as an authentication method to be determined by the determination unit.
  3.  請求項1または請求項2に記載の認証装置であって、
     前記決定部は、取得した前記流量情報に基づいて、顔認証と、虹彩認証を含む認証処理と、のうちのいずれの認証を行うかを決定する
     認証装置。
    The authentication device according to claim 1 or 2.
    The determination unit is an authentication device that determines which of face authentication and authentication processing including iris authentication is performed based on the acquired flow rate information.
  4.  請求項1から請求項3までのいずれか1項に記載の認証装置であって、
     前記決定部は、取得した前記流量情報に基づいて混雑していると判断される場合に、顔認証を行うと決定する
     認証装置。
    The authentication device according to any one of claims 1 to 3.
    The determination unit is an authentication device that determines to perform face authentication when it is determined to be congested based on the acquired flow rate information.
  5.  請求項1から請求項4までのいずれか1項に記載の認証装置であって、
     前記決定部は、取得した前記流量情報に基づいて混雑していないと判断される場合に、虹彩認証を含む認証方法を行うと決定する
     認証装置。
    The authentication device according to any one of claims 1 to 4.
    The determination unit is an authentication device that determines to perform an authentication method including iris authentication when it is determined that the unit is not congested based on the acquired flow rate information.
  6.  請求項1から請求項5までのいずれか1項に記載の認証装置であって、
     前記流量情報は、入場する人の数を示す情報を含んでいる
     認証装置。
    The authentication device according to any one of claims 1 to 5.
    The flow rate information is an authentication device that includes information indicating the number of people entering.
  7.  請求項1から請求項6までのいずれか1項に記載の認証装置であって、
     前記取得部は、人物が入場する際に通る開閉部の開閉回数に基づいて前記流量情報を取得する
     認証装置。
    The authentication device according to any one of claims 1 to 6.
    The acquisition unit is an authentication device that acquires the flow rate information based on the number of times the opening / closing unit is opened / closed when a person enters.
  8.  請求項1から請求項7までのいずれか1項に記載の認証装置であって、
     前記流量情報は、時刻を示す情報を含んでいる
     認証装置。
    The authentication device according to any one of claims 1 to 7.
    The flow rate information is an authentication device that includes information indicating a time.
  9.  請求項1から請求項8までのいずれか1項に記載の認証装置であって、
     前記決定部は、取得した前記流量情報に基づいて、認証処理を行う際に用いる閾値を調整する
     認証装置。
    The authentication device according to any one of claims 1 to 8.
    The determination unit is an authentication device that adjusts a threshold value used when performing an authentication process based on the acquired flow rate information.
  10.  人物の認証処理の結果に基づいて人物の入場を制御する認証装置が、
     人物の混雑状況を示す流量情報を取得し、
     取得した前記流量情報に基づいて、入場制御処理を行う際に用いる認証方法を決定する
     認証方法。
    An authentication device that controls the entry of a person based on the result of the person's authentication process
    Acquire flow rate information indicating the congestion status of people,
    An authentication method that determines an authentication method to be used when performing admission control processing based on the acquired flow rate information.
  11.  人物の認証処理の結果に基づいて人物の入場を制御する認証装置に、
     人物の混雑状況を示す流量情報を取得する取得部と、
     前記取得部が取得した前記流量情報に基づいて、入場制御処理を行う際に用いる認証方法を決定する決定部と、
     を実現するためのプログラムを記録した、コンピュータが読み取り可能な記録媒体。

     
    For an authentication device that controls the entrance of a person based on the result of the person authentication process,
    An acquisition unit that acquires flow rate information that indicates the congestion status of people,
    Based on the flow rate information acquired by the acquisition unit, a determination unit that determines an authentication method to be used when performing admission control processing, and a determination unit.
    A computer-readable recording medium that records programs to achieve this.

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Citations (5)

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JP2007156541A (en) * 2005-11-30 2007-06-21 Toshiba Corp Person recognition apparatus and method and entry/exit management system
JP2011014058A (en) * 2009-07-06 2011-01-20 Mitsubishi Electric Corp Entrance management system
WO2015136938A1 (en) * 2014-03-14 2015-09-17 株式会社 東芝 Information processing method and information processing system
WO2017208437A1 (en) * 2016-06-03 2017-12-07 マクセル株式会社 Image pickup apparatus and image pickup system
JP2019124999A (en) * 2018-01-12 2019-07-25 日本電気株式会社 Face authentication device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007156541A (en) * 2005-11-30 2007-06-21 Toshiba Corp Person recognition apparatus and method and entry/exit management system
JP2011014058A (en) * 2009-07-06 2011-01-20 Mitsubishi Electric Corp Entrance management system
WO2015136938A1 (en) * 2014-03-14 2015-09-17 株式会社 東芝 Information processing method and information processing system
WO2017208437A1 (en) * 2016-06-03 2017-12-07 マクセル株式会社 Image pickup apparatus and image pickup system
JP2019124999A (en) * 2018-01-12 2019-07-25 日本電気株式会社 Face authentication device

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