WO2021205844A1 - Dispositif d'authentification - Google Patents

Dispositif d'authentification 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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WIPO (PCT)
Prior art keywords
authentication
flow rate
rate information
authentication device
gate
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PCT/JP2021/011248
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English (en)
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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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/ja
Publication of WO2021205844A1 publication Critical patent/WO2021205844A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME 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
    • G07C9/00—Individual registration on entry or exit
    • G07C9/30—Individual registration on entry or exit not involving the use of a pass
    • G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
    • G07C9/37—Individual 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

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Human Computer Interaction (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Collating Specific Patterns (AREA)
  • Time Recorders, Dirve Recorders, Access Control (AREA)

Abstract

La présente invention concerne un dispositif d'authentification qui commande l'entrée d'une personne sur la base du résultat du traitement d'authentification pour cette personne, le dispositif d'authentification comprenant : une unité d'acquisition qui acquiert des informations de débit indiquant l'état de congestion de personnes ; et une unité de détermination qui détermine, sur la base des informations de débit acquises par l'unité d'acquisition, un procédé d'authentification à utiliser lorsque le traitement de commande d'entrée est exécuté.
PCT/JP2021/011248 2020-04-09 2021-03-18 Dispositif d'authentification WO2021205844A1 (fr)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007156541A (ja) * 2005-11-30 2007-06-21 Toshiba Corp 人物認識装置、人物認識方法および入退場管理システム
JP2011014058A (ja) * 2009-07-06 2011-01-20 Mitsubishi Electric Corp 入室管理システム
WO2015136938A1 (fr) * 2014-03-14 2015-09-17 株式会社 東芝 Procédé de traitement d'informations et système de traitement d'informations
WO2017208437A1 (fr) * 2016-06-03 2017-12-07 マクセル株式会社 Appareil et système de capture d'images
JP2019124999A (ja) * 2018-01-12 2019-07-25 日本電気株式会社 顔認証装置

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007156541A (ja) * 2005-11-30 2007-06-21 Toshiba Corp 人物認識装置、人物認識方法および入退場管理システム
JP2011014058A (ja) * 2009-07-06 2011-01-20 Mitsubishi Electric Corp 入室管理システム
WO2015136938A1 (fr) * 2014-03-14 2015-09-17 株式会社 東芝 Procédé de traitement d'informations et système de traitement d'informations
WO2017208437A1 (fr) * 2016-06-03 2017-12-07 マクセル株式会社 Appareil et système de capture d'images
JP2019124999A (ja) * 2018-01-12 2019-07-25 日本電気株式会社 顔認証装置

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