JP6465908B2 - Management system, management method - Google Patents

Description

  The present invention relates to a management system and a management method.

  In recent years, crimes such as a drip replacement case at a hospital and a foreign matter contamination case at a food factory have become major social problems.

  In order to accurately manage a person in a specific environment, a management method for managing a person holding the tag using a tag of a sensor (beacon, RFID, etc.) that can identify an individual has been proposed (for example, , See Patent Document 1).

JP 2017-17626 A

  However, the above-described conventional management method cannot detect that a suspicious person who does not hold a tag in a specific environment enters (that is, “ID not carried”). Also, it is not possible to detect fraud (ie, “spoofing”) that borrows another person's tag into a specific environment.

  The present invention has been made in consideration of the above points. An object of the present invention is to provide a management system and a management method improved in terms of security.

The management system according to the first aspect of the present invention includes:
A personal identification sensor for detecting an identifier transmitted from an ID tag in the management area;
A camera for shooting in the management area;
A server connected to the personal identification sensor and the camera via a network;
With
The server
A storage unit for storing a master for associating registered personal names and identifiers;
A communication unit that acquires the identifier from the personal identification sensor and acquires video data from the camera;
A processing unit for identifying an individual name associated with the acquired identifier from the master, and for associating the identified individual name with the acquired video data;
Have

  According to such an aspect, the camera captures the management area sensed by the personal identification sensor, and the name of the individual in the management area is identified and identified from the identifier detected by the personal identification sensor. The personal name is linked to the video data of the camera. As a result, when there is an unauthorized intrusion into a management area such as a non-ID mobile phone or impersonation, the administrator who confirms the video data refers to the name of the individual associated with the video data, It can be easily detected. Therefore, the security of the management area can be greatly improved.

  In addition, according to such an aspect, the personal identification sensor senses the management area captured by the camera, and the name of the individual in the management area is identified from the identifier detected by the personal identification sensor. The name of the individual is linked to the video data of the camera. This makes it possible for an administrator who confirms video data, such as a construction site where materials are intricately arranged, to be confirmed by the individual associated with the video data. By referring to the name, it is possible to easily grasp the person at the site.

The management system according to the second aspect of the present invention is the management system according to the first aspect,
If the personal name associated with the acquired identifier cannot be identified from the master, the processing unit associates warning information with the acquired video data.

  According to such an aspect, even if the person who is not registered in the master even if holding the ID tag illegally enters the management area, the warning information is associated with the video data. An administrator who confirms the video data can easily detect such unauthorized intrusion.

The management system according to the third aspect of the present invention is the management system according to the first or second aspect,
The personal identification sensor is an RFID sensor or a beacon sensor.

A management system according to a fourth aspect of the present invention is the management system according to any one of the first to third aspects,
An auxiliary sensor for detecting that there is a person in the management area or that a person has entered the management area;
The communication unit acquires a detection result from the auxiliary sensor,
The processing unit counts the number of people in the management area based on the detection result of the acquired auxiliary sensor, compares the number with the number of identifiers acquired from the personal identification sensor, and if they do not match, from the camera The warning information is associated with the acquired video data.

  According to such an aspect, for example, when a person holding an ID tag enters the management area normally, even if a person who does not hold the ID tag enters the management area illegally, Such an abnormal intrusion is detected using an auxiliary sensor, and warning information is linked to the video data. Therefore, an administrator who confirms the video data can easily detect such an abnormal intrusion. .

A management system according to a fourth aspect of the present invention is the management system according to any one of the first to third aspects,
A plurality of auxiliary sensors for detecting that there is a person in the management area or that a person has entered the management area;
The communication unit acquires a detection result from each auxiliary sensor,
The processing unit counts the number of people in the management area for each auxiliary sensor based on the acquired detection result of the auxiliary sensor,
If the counted number of people does not match between the auxiliary sensors, the first warning information is linked to the video data acquired from the camera,
If the counted number of people matches between the auxiliary sensors, it is compared with the number of identifiers acquired from the personal identification sensor. If the counted number of people does not match the number of identifiers, it is acquired from the camera. The second warning information is linked to the recorded video data.

  According to such an embodiment, even if the number of persons cannot be reliably counted by the auxiliary sensor, the manager's attention can be urged as “warning” treatment different from “abnormal”.

A management system according to a sixth aspect of the present invention is the management system according to the fourth or fifth aspect,
The auxiliary sensor includes a motion sensor that detects movement in the management area, an infrared sensor that detects passage through the management area, a sound sensor that detects sound in the management area, and opens and closes a door in the management area. One or two or more sensors selected from the group consisting of a door sensor to detect, an illuminance sensor for detecting illuminance in the management area, and a carbon dioxide concentration sensor for detecting carbon dioxide concentration in the management area.

A management system according to a seventh aspect of the present invention is the management system according to any one of the first to sixth aspects,
The processing unit associates the acquired identifier with the detection date and time of the personal identification sensor and stores it in the sensor database, and associates the acquired image data with the shooting date and time of the camera and stores it in the image database.
When the communication unit receives a request for video data of a specific date and time from the terminal device, the processing unit searches the sensor database using the specific date and time as a search key and extracts the detected identifier. The personal name associated with the identifier is identified from the master, the video database is searched using the specific date and time as a search key, video data is extracted, and the personal name identified in the extracted video data is extracted. In association with each other, the communication unit transmits video data in which an individual name is associated to the terminal device.

  According to such an aspect, when the administrator confirms the video data of a specific date and time with the terminal device, the name of the individual specified using the personal identification sensor is associated with the video data of the camera. Thereby, unauthorized intrusion into the management area can be easily detected from past video data, and the security of the management area can be further improved.

A management system according to an eighth aspect of the present invention is the management system according to the seventh aspect,
When the communication unit receives a request for video data associated with a specific individual name from the terminal device, the processing unit identifies an identifier associated with the specific individual name from the master, and the identified identifier The center database is searched using the search key to extract the detection date and time, the video database is searched using the extracted detection date and time as the search key to extract the video data, and the communication unit extracts the extracted video data or A list of the extracted video data is transmitted to the terminal device.

  According to such an aspect, the administrator can easily extract video data when a specific individual is in the management area. Therefore, it is possible to accurately grasp and manage the movement of the registered person.

A management system according to a ninth aspect of the present invention is the management system according to any one of the first to eighth aspects,
A second personal identification sensor for detecting an identifier transmitted from an ID tag in the second management area;
A second camera for photographing the inside of the second management area;
Further comprising
The communication unit acquires the identifier from each of the personal identification sensor and the second personal identification sensor, and acquires video data from each of the camera and the second camera,
The processing unit identifies an individual name associated with the identifier acquired from the individual identification sensor from the master, associates the identified individual name with video data acquired from the camera, and An individual name associated with the identifier acquired from the second individual identification sensor is identified from the master, and the identified individual name is associated with video data acquired from the second camera.

  According to such an aspect, the camera captures the management area sensed by the personal identification sensor, and the name of the person in the management area is identified and identified from the identifier detected by the personal identification sensor. In addition to the name being associated with the video data of the camera, the camera is photographing the second management area sensed by the second personal identification sensor, and the second is detected from the identifier detected by the second personal identification sensor. The name of the person in the management area is specified, and the specified name is linked to the video data of the second camera. As a result, the administrator can easily detect unauthorized intrusion into the first management area by checking the video data of the first camera, and in addition to checking the video data of the second camera, 2. Unauthorized entry into the management area can be easily detected. Therefore, the security of a plurality of management areas can be improved.

A management method according to the tenth aspect of the present invention includes:
The personal identification sensor detects the identifier transmitted from the ID tag in the management area,
The camera takes a picture of the management area,
A server obtains the identifier from the personal identification sensor and obtains video data from the camera;
The server identifies a personal name associated with the identifier acquired from the personal identification sensor from a master that associates the registered personal name with the identifier, and identifies the identified personal name from the camera. Link to the acquired video data.

A management method according to an eleventh aspect of the present invention is the management method according to the tenth aspect,
The server associates warning information with the video data obtained from the camera when the individual name associated with the identifier obtained from the individual identification sensor cannot be identified from the master.

A management method according to a twelfth aspect of the present invention is the management method according to the tenth or eleventh aspect,
The personal identification sensor is an RFID sensor or a beacon sensor.

A management method according to a thirteenth aspect of the present invention is the management method according to any of the tenth to twelfth aspects,
The auxiliary sensor detects that there is a person in the management area or that a person has entered the management area,
The server counts the number of persons in the management area based on the detection result of the auxiliary sensor, compares it with the number of identifiers acquired from the personal identification sensor, and if it does not match, acquired from the camera Link warning information to video data.

A management method according to a fourteenth aspect of the present invention is the management method according to any one of the tenth to twelfth aspects,
Each of the plurality of auxiliary sensors detects that there is a person in the management area or that a person has entered the management area.
The server counts the number of people in the management area for each auxiliary sensor based on the detection result of the auxiliary sensor,
If the counted number of people does not match between the auxiliary sensors, the first warning information is linked to the video data acquired from the camera,
If the counted number of people matches between the auxiliary sensors, it is compared with the number of identifiers acquired from the personal identification sensor. If the counted number of people does not match the number of identifiers, it is acquired from the camera. The second warning information is linked to the recorded video data.

A management method according to a fifteenth aspect of the present invention is the management method according to the thirteenth or fourteenth aspect,
The auxiliary sensor includes a motion sensor that detects movement in the management area, an infrared sensor that detects passage through the management area, a sound sensor that detects sound in the management area, and opens and closes a door in the management area. One or two or more sensors selected from the group consisting of a door sensor to detect, an illuminance sensor for detecting illuminance in the management area, and a carbon dioxide concentration sensor for detecting carbon dioxide concentration in the management area.

A management method according to a sixteenth aspect of the present invention is the management method according to any one of the tenth to fifteenth aspects,
The server
Storing the date and time of detection associated with the identifier acquired from the personal identification sensor in the sensor database;
The video data acquired from the camera is linked to the shooting date and stored in the video database,
When a request for video data of a specific date and time is received from the terminal device, the detected identifier is extracted by searching the sensor database using the specific date and time as a search key, and the name of the individual associated with the extracted identifier is extracted. Specify from the master, search the video database using the specific date and time as a search key, extract video data, link the specified personal name to the extracted video data, and link the personal name The transmitted video data is transmitted to the terminal device.

A management method according to a seventeenth aspect of the present invention is the management method according to the sixteenth aspect,
The server
When a request for video data associated with a specific individual name is received from the terminal device, an identifier associated with the specific individual name is identified from the master, and the center database is searched using the identified identifier as a search key. The detection date and time is extracted, the video database is searched using the extracted detection date and time as a search key, video data is extracted, and the extracted video data or a list of the extracted video data is transmitted to the terminal device.

A management method according to an eighteenth aspect of the present invention is the management method according to any one of the tenth to seventeenth aspects,
A second personal identification sensor detects an identifier transmitted from an ID tag in the second management area;
The second camera takes a picture of the second management area,
The server acquires the identifier from each of the personal identification sensor and the second personal identification sensor, acquires video data from each of the camera and the second camera,
The server specifies an individual name associated with the identifier acquired from the individual identification sensor from a master that associates the registered individual name with the identifier, and identifies the identified individual name from the camera. In addition to associating with the acquired video data, the name of the individual associated with the identifier acquired from the second personal identification sensor is specified from the master, and the name of the specified individual is acquired from the second camera. Link to the video data.

  According to the present invention, it is possible to provide a management system and a management method improved in terms of security.

FIG. 1 is a diagram illustrating a schematic configuration of a management system according to the first embodiment. FIG. 2 is a diagram showing a schematic configuration of a server in the management system shown in FIG. FIG. 3 is a diagram showing an example of the configuration of the master stored in the server shown in FIG. FIG. 4 is a diagram showing an example of the configuration of the sensor database stored in the server shown in FIG. FIG. 5 is a diagram showing another example of the configuration of the sensor database stored in the server shown in FIG. FIG. 6 is a diagram showing an example of the configuration of the video database stored in the server shown in FIG. FIG. 7 is a flowchart showing an example of a management method by the management system shown in FIG. FIG. 8 is a diagram illustrating an example of an image displayed on the terminal device in the case of normal entry. FIG. 9 is a diagram illustrating an example of an image displayed on the terminal device when the ID is not carried. FIG. 10 is a diagram illustrating an example of an image displayed on the terminal device when the ID is abnormal. FIG. 11 is a diagram illustrating an example of an image displayed on the terminal device in the case of impersonation. FIG. 12 is a diagram illustrating an example of an image displayed on the terminal device in the case of misalignment. FIG. 13 is a flowchart showing a modification of the management method by the management system shown in FIG. FIG. 14 is a flowchart showing another example of the management method by the management system shown in FIG. FIG. 15 is a flowchart showing still another example of the management method by the management system shown in FIG.

  Embodiments of the present invention will be described below in detail with reference to the accompanying drawings. In addition, in each figure, the component which has an equivalent function is attached | subjected the same code | symbol, and detailed description of the component of the same code | symbol is not repeated.

(First embodiment)
FIG. 1 is a diagram illustrating a schematic configuration of a management system 1 according to the first embodiment.

  As shown in FIG. 1, the management system 1 includes individual identification sensors 21 and 31, cameras 22 and 32, auxiliary sensors 23, 33 a and 33 b, a server 10, and a terminal device 40. The personal identification sensors 21, 31, the cameras 22, 32, the auxiliary sensors 23, 33a, 33b, the server 10, and the terminal device 40 are connected to each other via a network. The network may be either a wired line or a wireless line, and the type and form of the line are not limited. Note that at least a part of the server 10 and the terminal device 40 is realized by a computer.

  In the illustrated example, the first personal identification sensor 21, the first camera 22, and the first auxiliary sensor 23 are disposed in the first management area 2, and the second personal identification sensor 31, the second camera 32, and the first Two auxiliary sensors 33 a and 33 b are arranged in the second management area 3. Note that the number of individual identification sensors, cameras, and auxiliary sensors arranged in each management area can be appropriately selected according to the size of each management area, the specifications of the device, the accuracy of the information to be obtained, and the like.

  The first personal identification sensor 21 is a sensor that detects an identifier transmitted from an ID tag in the first management area 2, and the second personal identification sensor 31 is transmitted from an ID tag in the second management area 3. It is a sensor that detects an identifier. As the first individual identification sensor 21 and the second individual identification sensor 31, for example, an RFID sensor or a beacon sensor is used. Here, the “RFID sensor” refers to a sensor that supplies radio waves to a passive ID tag without a battery and receives an identifier transmitted from the ID tag using the supplied radio waves, or holds a battery. A sensor that supplies radio waves to an active ID tag and receives an identifier transmitted from the ID tag using the supplied radio waves and a battery. A “beacon sensor” refers to a sensor that receives an identifier transmitted from an ID tag using a battery without supplying radio waves to an active ID tag that holds the battery. As an example of a beacon sensor, a device compliant with the Bluetooth (registered trademark) Low Energy (BLE) standard may be used.

  The first camera 22 shoots the first management area 2 to generate video data, and the second camera 32 shoots the second management area 3 to generate video data. The first camera 22 and the second camera 32 may generate moving image data by a streaming method, or may generate still image data at a predetermined time interval (for example, every second).

  The first auxiliary sensor 23 is a sensor that detects that there is a person in the first management area 2 or that a person has entered the first management area 2, and the second auxiliary sensors 33a and 33b are second sensors. This sensor detects that there is a person in the management area 3 or that a person has entered the second management area 3.

  As the first auxiliary sensor 23 and the second auxiliary sensors 33a and 33b, for example, a motion sensor, an infrared sensor, a voice sensor, a door opening / closing sensor, an illuminance sensor, a carbon dioxide concentration sensor, a Doppler sensor, a face recognition sensor, a human body recognition sensor, One or more sensors from the group of mat sensors are used.

  For example, the motion sensor detects the presence of a person in the management area by detecting the presence of a moving body from the video in the management area by image analysis. By counting the number of mobile bodies in the management area, the number of people in the management area can also be grasped.

  The infrared sensor detects that there is a person in the management area by detecting infrared rays emitted from the human body in the management area. By counting the number of infrared radiation sources, the number of people in the management area can be grasped.

  The voice sensor detects that there is a person in the management area by detecting the voice in the management area. By analyzing the voice in the management area, it is possible to grasp the number of people in the management area.

  The door opening / closing sensor detects that a person has entered the management area by detecting opening / closing of the door. By counting the number of times the door is opened and closed, the number of people in the management area can be determined.

  The illuminance sensor detects that the illumination in the management area is lit, that is, that there is a person, by detecting a change in illuminance in the management area.

  The carbon dioxide concentration sensor detects a person in the management area by detecting a change in the carbon dioxide concentration in the management area. By measuring the amount of carbon dioxide concentration, it is possible to grasp the number of people in the management area.

  The Doppler sensor detects the presence and position of a person in the management area by radiating a sound wave having a constant frequency into the management area and measuring the frequency of the returning sound wave. The number of people in the management area can also be grasped by detecting a difference from a state where there is no person.

  The face recognition sensor detects that a person has entered the management area by detecting the face from the video at the entrance of the management area by image analysis. By counting the number of times the face has been detected, the number of people in the management area can be grasped.

  The human body recognition sensor detects that there is a person in the management area by detecting the head from the upper image in the management area by image analysis. By counting the number of heads in the management area, the number of people in the management area can also be grasped.

  The mat sensor detects that a person has entered the management area by detecting that a person's foot has passed through the entrance of the management area. By counting the number of times a person's foot has passed, the number of people in the management area can be grasped.

  The terminal device 40 is a terminal for an administrator who manages the first management area 2 and the second management area 3 to access video data stored in the server 10. As the terminal device 40, for example, a smartphone, a tablet terminal, a notebook computer, or a desktop computer is used.

  FIG. 2 is a diagram illustrating a schematic configuration of the server 10.

  As illustrated in FIG. 2, the server 10 includes a CPU 101, a memory 102, a communication unit 104, a storage unit 110, input units 105 and 106, and a display unit 103.

  Among these, the memory 102 holds programs and primary data used for the operation of the CPU 101. The CPU 101 functions as the processing unit 15 by reading a program from the memory 102 and executing it. Details of the processing of the processing unit 15 will be described later.

  The communication unit 104 is a communication interface between the server 10 and the network. The communication unit 104 communicates with the individual identification sensors 21 and 31, the cameras 22 and 32, the auxiliary sensors 23, 33a, and 33b, and the terminal device 40 via a network.

  More specifically, the communication unit 104 acquires the detected identifier and the detection date and time from the first individual specifying sensor 21 and the second individual specifying sensor 31, respectively. In addition, the communication unit 104 acquires captured video data and shooting date and time from the first camera 22 and the second camera 32, respectively. Moreover, the communication part 104 acquires a detection result with detection date and time from the 1st auxiliary sensor 23 and the 2nd auxiliary sensors 33a and 33b, respectively. The communication unit 104 receives a request for video data from the terminal device 40 and transmits the video data to the terminal device 40.

  The storage unit 110 can be realized by, for example, a magnetic disk device. The storage unit 110 stores various data handled by the processing unit 15. For example, the storage unit 110 stores a master 113, a sensor database 112, and a video database 111. Note that a part or all of the storage unit 110 does not necessarily have to be provided in the server 10 and may be provided in another device that is communicably connected to the server 10 via a network.

  FIG. 3 is a diagram illustrating an example of the configuration of the master 113 stored in the storage unit 110. In the master 113, registered personal names and identifiers are stored in association with each other. The “name” may be a real name, a nickname, an employee number, or the like as long as an individual can be identified. In the example shown in FIG. 3, the master 113 stores an identifier “M01” and a name “Katsuaki Okajima” in association with each other, and an identifier “M02” and a name “Koji Mizoda” in association with each other. The identifier “M03” and the name “Sugita Sugita” are associated with each other and stored.

  FIG. 4 is a diagram illustrating an example of the configuration of the sensor database 112 stored in the storage unit 110. In the sensor database 112, for each individual identification sensor 21, 31, a detection date and time is associated with the acquired identifier and stored. In the example illustrated in FIG. 4, the sensor database 112 stores the detection date and time “August 4, 2016, 9:00” and the identifier “M01” in association with each other for the first personal identification sensor 21. , The detection date and time “August 4, 2016 9:10” and the identifier “M03” are stored in association with each other, and the detection date and time “August 4, 2016 9:40” and “M02” are stored. Are stored in association with each other.

  FIG. 5 is a diagram illustrating another position example of the configuration of the sensor database 112 stored in the storage unit 110. In the sensor database 112, for each of the auxiliary sensors 23, 33a, and 33b, a detection date and time is associated with the acquired detection result and stored. For example, a detection result that there is a person in the management area 2 or that a person has entered the management area 2 is stored as a value of “ON”, and if not, it is stored as a value of “OFF”. In the example shown in FIG. 5, the sensor database 112 stores the detection date and time “August 4, 2016, 9:00” and the value “ON” for the first auxiliary sensor 23 in association with each other. The detection date “August 4, 2016 9:05” and the value “ON” are stored in association with each other, and the detection date “August 4, 2016 9:10” and “ON” are stored. A value is associated and stored, and a detection date and time of “August 4, 2016 9:40” and a value “ON” are associated and stored.

  FIG. 6 is a diagram illustrating an example of the configuration of the video database 111 stored in the storage unit 110. In the video database 111, for each of the cameras 22 and 32, the acquired video data is stored in association with the shooting date and time. In the example illustrated in FIG. 6, the first database 22 is captured in the video database 111 at the shooting date and time of “August 4, 2016, 9:00:00 to 9:09:59”. The video data is linked and stored, and the shooting date and time “August 4, 2016 9:10:00 to 9:19:59” is linked to the video data shot during that time zone. The shooting date and time “August 4, 2016 9:20:00 to 9:29:59” and the video data shot in that time zone are linked and stored.

  As illustrated in FIG. 2, the input units 105 and 106 are parts that receive input from a server administrator who manages the server 10. In the illustrated example, the keyboard 105 and the mouse 106 are used as the input unit, but a touch panel, a microphone, a touch pad, a dial button, or the like may be used.

  The display unit 103 is an interface that outputs various types of information from the server 10 to the administrator, and is a video display unit such as a liquid crystal display. Specifically, for example, the display unit 103 displays a GUI (Graphical User Interface) for accepting an operation from the user.

  Next, a management method by the management system 1 having such a configuration will be described. In the present embodiment, the management method related to the second management area 3 is the same as the management method related to the first management area 2, and the management method in the first management area 2 will be described below as a representative.

(Example of management method)
FIG. 7 is a flowchart illustrating an example of a management method by the management system 1.

  First, as shown in FIG. 7, the inside of the management area 2 is photographed by the camera 22 (step S10). The communication unit 104 of the server 10 acquires captured video data and shooting time from the camera 22. When streaming moving image data is acquired from the camera 22, the acquired moving image data is stored as one file for each predetermined storage unit (for example, 10 minutes) by the processing unit 15. .

  In parallel with step S10, an identifier transmitted from the ID tag in the management area 2 is detected by the personal identification sensor 21 (step S11). The communication unit 104 of the server 10 acquires the detected identifier and the detection date / time from the individual identification sensor 21.

  In parallel with steps S10 and S11, the auxiliary sensor 23 detects that there is a person in the management area 2 or that a person has entered (step S12). The communication unit 104 of the server 10 acquires the detection result and the detection date / time from the auxiliary sensor 23.

  Next, the processing unit 15 counts the number of people in the management area 2 based on the detection result of the auxiliary sensor 23. For example, when the auxiliary sensor 23 is a motion sensor, the number of moving bodies is counted from the video in the management area 2 to calculate the number of people in the management area 2. When the auxiliary sensor 23 is a door opening / closing sensor, the number of persons in the management area 2 is calculated by subtracting the opening / closing frequency of the exit door from the opening / closing frequency of the entrance door. If the auxiliary sensor 23 is a carbon dioxide concentration sensor, the number of people in the management area 2 is calculated based on the concentration of carbon dioxide in the management area 2.

  Then, the processing unit 15 counts the number of identifiers acquired from the individual identification sensor 21, and compares the number of people in the management area 2 with the number of acquired identifiers (step S13).

  If the number of persons in the management area 2 does not match the number of acquired identifiers (step S14: NO), the process proceeds to step S18 described later.

  When the number of persons in the management area 2 matches the number of acquired identifiers (step S14: YES), the processing unit 15 names the individuals associated with the identifiers acquired from the individual identification sensor 21. Is identified from the master 113 stored in the storage unit 110 (step S15).

  Since various sensors have different detection timings, it is necessary to adjust the number of people and the state determination in the system. Specifically, for example, the presence of a person is detected by the auxiliary sensor 23 and the identifier cannot be detected by the personal identification sensor 21, so that the abnormality is not instantaneously detected, and the detection by the personal identification sensor 21 is waited for a while. When the detection becomes possible (ie, the direction of the person has changed) (normally, the process proceeds to step S17).

  When the personal name can be identified from the master 113 (step S16: YES), the processing unit 15 associates the identified personal name with the video data acquired from the camera 22 (step S17). For example, the processing unit 15 synthesizes the identified personal name with the video data so that the identified personal name is displayed simultaneously with the video data video. Alternatively, the processing unit 15 simply combines the identified individual names without synthesizing the video data image, and when the terminal device 40 displays the video data image, the processing unit 15 displays the combined individual name. Configure to display simultaneously.

  When the personal name cannot be identified from the master 113 (step S16: NO), the processing unit 15 associates the warning information with the video data acquired from the camera 22 (step S18).

  Next, the communication unit 104 transmits the video data to the terminal device 40, and the terminal device 40 displays the video of the received video data on the display. At this time, if there is information (personal name or warning information) associated with the video data, the terminal device 40 displays it on the display simultaneously with the video data (step S19).

  For example, when a person registered in the master 113 enters the management area 2 (that is, “normal entry”), as shown in FIG. The name of the person is displayed at the same time. An administrator who confirms the video data can confirm that the person in the management area 2 is in a normal room by visually confirming who the person is in the management area 2 and collating it with the displayed name.

  On the other hand, when a suspicious person who does not hold the ID tag enters the management area 2 (so-called “ID not portable”), as shown in FIG. The projected image is displayed, but the person's name is not displayed. Therefore, the administrator who confirms the video data can confirm that the person is in the management area 2 in the video, but the name of the person is not displayed. Can be detected.

  Further, when a person who is not registered in the master 113 illegally enters the management area 2 even when holding the ID tag (in the case of so-called “ID abnormality”), as shown in FIG. On the display of the device 40, an image showing the person and warning information are displayed simultaneously. The administrator who confirms the video data can easily detect the unauthorized entry by confirming the warning information.

  When a suspicious person who is not registered in the master 113 enters the management area 2 while holding another person's ID tag (so-called “spoofing”), as shown in FIG. Displays the video of the person and the name of the other person at the same time. The manager who confirms the video data can easily detect that the person is in the management area 2 by visually confirming who the person is in the management area 2 and comparing it with the displayed name.

  In addition, when a person holding an ID tag enters the management area normally and at the same time a person who does not hold the ID tag enters the management area illegally (so-called “tipping”), As shown in FIG. 12, on the display of the terminal device 40, an image showing both of them and warning information are displayed simultaneously. The administrator who confirms the video data can easily detect the unauthorized entry by confirming the warning information.

  According to the present embodiment as described above, the camera 22 captures the management area 2 sensed by the personal identification sensor 21, and the individual in the management area 2 from the identifier detected by the personal identification sensor 21. Are identified, and the name of the identified individual is linked to the video data of the camera 22. As a result, when there is an unauthorized intrusion into the management area 2 such as an ID unaccompanied or impersonated, an administrator who confirms the video data refers to the name of the individual associated with the video data. Intrusion can be easily detected. Therefore, the security of the management area 2 can be greatly improved.

  Further, according to the present embodiment, the personal identification sensor 21 senses the management area 2 photographed by the camera 22, and the name of the individual in the management area 2 from the identifier detected by the personal identification sensor 21. Is identified, and the name of the identified individual is linked to the video data of the camera 22. As a result, for example, a construction site where materials are intricately arranged, such as a construction site where it is difficult to confirm the inside from the video of the camera 22, the administrator who confirms the video data is an individual associated with the video data. By referring to the name, it is possible to easily grasp the person at the site.

  In the above-described embodiment, the first camera 22 captures the first management area 2 sensed by the first personal identification sensor 21, and the first identifier is detected from the identifier detected by the first personal identification sensor 21. The example in which the name of the person in the management area 2 is specified and the specified name is associated with the video data of the first camera 22 has been described. Similarly, the second individual specifying sensor 31 is sensing. The second camera 32 has photographed the second management area 3, the name of the person in the second management area 3 is identified from the identifier detected by the second individual identification sensor 31, and the identified name is the second It is associated with the video data of the camera 32. Thereby, an administrator who manages the first management area 2 and the second management area 3 can easily detect unauthorized intrusion into the first management area 2 by checking the video data of the first camera 22. In addition, it is possible to easily detect unauthorized entry into the second management area 3 by checking the video data of the second camera 32. Therefore, the security of each of the plurality of management areas 2 and 3 can be improved. The same applies when there are three or more management areas.

(Modification of management method)
Next, a modification of the management method by the management system 1 will be described with reference to FIG. FIG. 13 is a flowchart illustrating a modification of the management method by the management system 1.

  First, as shown in FIG. 13, the inside of the management area 3 is photographed by the camera 32 (step S40). The communication unit 104 of the server 10 acquires captured video data and shooting time from the camera 32. When streaming-type moving image data is acquired from the camera 32, the acquired moving image data is stored as one file for each predetermined storage unit (for example, 10 minutes) by the processing unit 15. .

  In parallel with step S40, the identifier transmitted from the ID tag in the management area 3 is detected by the personal identification sensor 31 (step S41). The communication unit 104 of the server 10 acquires the detected identifier and the detection date / time from the individual identification sensor 31.

  In parallel with steps S40 and S41, the auxiliary sensors 33a and 33b detect that there is a person in the management area 3 or that a person has entered (step S42). The communication unit 104 of the server 10 acquires a detection result and a detection date and time from each of the auxiliary sensors 33a and 33b.

  Next, the processing unit 15 counts the number of people in the management area 3 for each of the auxiliary sensors 33a and 33b based on the detection results of the auxiliary sensors 33a and 33b. Then, the processing unit 15 compares the counted number of persons between the auxiliary sensors 33a and 33b (step S43).

  If the counted number of persons does not match between the auxiliary sensors 33a and 33b (step S44: NO), the first warning information is linked to the video data acquired from the camera 32 (step S46). Here, the “first warning information” is information indicating that the state is, for example, “warning”. Thereafter, the process proceeds to step S51 described later.

  When the counted number of persons coincides between the auxiliary sensors 33a and 33b (step S44: YES), the processing unit 15 counts the number of identifiers acquired from the individual identification sensor 31, and sets the auxiliary sensors 33a and 33b. The number of persons counted using the number of identifiers obtained is compared (step S45).

  When the number of persons counted using the auxiliary sensors 33a and 33b does not match the number of acquired identifiers (step S47: NO), the second warning information is linked to the video data acquired from the camera 32. (Step S48). Here, the “second warning information” is information indicating that the condition is more serious than the first warning information, such as “abnormal”. Thereafter, the process proceeds to step S51 described later.

  When the number of persons counted using the auxiliary sensors 33a and 33b matches the number of acquired identifiers (step S47: YES), the processing unit 15 associates with the identifier acquired from the personal identification sensor 31. The name of the individual is specified from the master 113 stored in the storage unit 110 (step S48).

  Then, the processing unit 15 associates the identified individual name with the video data acquired from the camera 32 (step S49). For example, the processing unit 15 synthesizes the identified personal name with the video data so that the identified personal name is displayed simultaneously with the video data video. Alternatively, the processing unit 15 simply combines the identified individual names without synthesizing the video data image, and when the terminal device 40 displays the video data image, the processing unit 15 displays the combined individual name. Configure to display simultaneously.

  Next, the communication unit 104 transmits the video data to the terminal device 40, and the terminal device 40 displays the video of the received video data on the display. At this time, if there is information (personal name or first warning information or second warning information) associated with the video data, the terminal device 40 displays the video data on the display simultaneously with the video (step S51). .

  According to the embodiment as described above, even when the number of persons cannot be reliably counted by the auxiliary sensors 33a and 33b, the manager's attention can be urged as “warning” treatment different from “abnormal”. .

(Another example of management method)
Next, another example of the management method by the management system 1 will be described with reference to FIG. FIG. 14 is a flowchart illustrating another example of the management method by the management system 1.

  First, as shown in FIG. 14, the inside of the management area 2 is photographed by the camera 22 (step S20). The communication unit 104 of the server 10 acquires video data captured from the camera 22. When the communication unit 104 acquires streaming-type moving image data from the camera 22, the processing unit 15 stores it as one file for each predetermined storage unit (for example, 10 minutes).

  Further, the identifier transmitted from the ID tag in the management area 2 is detected by the personal identification sensor 21 (step S21). The communication unit 104 of the server 10 acquires the identifier detected from the individual identification sensor 21.

  Next, as illustrated in FIG. 4, the processing unit 15 associates the detection date and time of the personal identification sensor 21 with the identifier acquired from the personal identification sensor 21 and stores it in the sensor database 112 (step S <b> 22).

  Further, as shown in FIG. 6, the processing unit 15 associates the video data acquired from the camera 22 with the shooting date and time of the camera 22 and stores it in the video database 111 (step S23).

  Next, the communication unit 104 receives a request for video data of a specific date and time (for example, “August 4, 2016, 9:00”) from the terminal device 40 (step S24).

  The processing unit 15 searches the sensor database 112 using a specific date and time (for example, “August 4, 2016, 9:00”) as a search key, and extracts an identifier detected at the specific date and time (step S25). ). In the example shown in FIG. 4, the identifier “M01” is extracted.

  Next, the processing unit 15 specifies an individual name associated with the extracted identifier (for example, “M01”) from the master 113 (step S26). In the example shown in FIG. 3, the name “Okajima Katsumi” is specified.

  The processing unit 15 searches the video database 111 using a specific date and time (for example, “August 4, 2016, 9:00”) as a search key, and extracts video data shot at the specific date and time (step S15). S27).

  The processing unit 15 associates the identified individual name (for example, “Katsuaki Okajima”) with the extracted video data (step S28).

  Then, the processing unit 15 transmits the video data associated with the personal name to the terminal device 40 (step S29).

According to the embodiment as described above, when the administrator confirms the video data of a specific date and time with the terminal device 40, the name of the individual specified using the personal identification sensor 21 is the video data of the camera 22. It is tied. Thereby, unauthorized intrusion into the management area 2 can be easily detected from past video data, and the security of the management area 2 can be further improved.
(Another example of management method)
Next, still another example of the management method by the management system 1 will be described with reference to FIG. FIG. 15 is a flowchart illustrating still another example of the management method by the management system 1.

  First, as shown in FIG. 15, the inside of the management area 2 is photographed by the camera 22 (step S30). The communication unit 104 of the server 10 acquires video data captured from the camera 22. When the communication unit 104 acquires streaming-type moving image data from the camera 22, the processing unit 15 stores it as one file for each predetermined storage unit (for example, 10 minutes).

  Further, the identifier transmitted from the ID tag in the management area 2 is detected by the personal identification sensor 21 (step S31). The communication unit 104 of the server 10 acquires the identifier detected from the individual identification sensor 21.

  Next, as illustrated in FIG. 4, the processing unit 15 associates the detection date and time of the personal identification sensor 21 with the identifier acquired from the personal identification sensor 21 and stores it in the sensor database 112 (step S <b> 32).

  Further, as illustrated in FIG. 6, the processing unit 15 associates the video data acquired from the camera 22 with the shooting date and time of the camera 22 and stores it in the video database 111 (step S <b> 33).

  Next, the communication part 104 receives the request | requirement of the video data linked | related with the specific person's name (for example, "Katsuaki Okajima") from the terminal device 40 (step S34).

  The processing unit 15 specifies an identifier associated with the name of a specific individual (for example, “Katsuaki Okajima”) from the master 113 (step S35). In the example shown in FIG. 3, the identifier “M01” is specified.

  The processing unit 15 searches the center database 112 using the specified identifier (for example, “M01”) as a search key, and extracts the detection date and time when the identifier was detected (step S36). In the example illustrated in FIG. 4, the date “August 4, 2016, 9:00” is extracted.

  Next, the processing unit 15 searches the video database 111 using the extracted detection date and time (for example, “August 4, 2016, 9:00”) as a search key, and extracts video data shot at that date and time. (Step S37).

  The processing unit 15 transmits the extracted video data to the terminal device 40 (step S38). When a plurality of video data is extracted in step S <b> 37, the processing unit 15 may transmit the extracted video data list to the terminal device 40.

  According to the embodiment as described above, an administrator who manages the management area 2 can easily extract video data when a specific individual is in the management area 2. Therefore, it is possible to accurately grasp and manage the movement of the registered person. As a result of this, to improve work efficiency, for example, consider room arrangements that reduce unnecessary movement (movement), or work sharing that prevents movement of people, to improve work efficiency. Can do.

  The description of the above-described embodiments and individual modifications and the disclosure of the drawings are merely examples for explaining the invention described in the claims, and the description of the above-described embodiments and individual modifications. The invention described in the scope of claims is not limited by the description or the disclosure of the drawings. The components of the above-described embodiments and individual modifications can be arbitrarily combined without departing from the gist of the invention.

DESCRIPTION OF SYMBOLS 1 Management system 2 1st management area 21 1st personal identification sensor 22 1st camera 23 1st auxiliary sensor 3 2nd management area 31 2nd personal identification sensor 32 2nd camera 33a, 33b 2nd auxiliary sensor 10 Server 101 CPU
102 Memory 103 Display unit 104 Communication unit 105 Input unit (keyboard)
106 Input section (mouse)
110 Storage Unit 111 Video Database 112 Sensor Database 113 Master 15 Processing Unit 40 Terminal Device

Claims (16)

A personal identification sensor for detecting an identifier transmitted from an ID tag in the management area;
A camera for shooting in the management area;
A server connected to the personal identification sensor and the camera via a network;
With
The server
A storage unit for storing a master for associating registered personal names and identifiers;
A communication unit that acquires the identifier from the personal identification sensor and acquires video data from the camera;
A processing unit for identifying an individual name associated with the acquired identifier from the master, and for associating the identified individual name with the acquired video data;
Have
The management system, wherein if the personal name associated with the acquired identifier cannot be identified from the master, the processing unit associates warning information with the acquired video data. The management system according to claim 1, wherein the personal identification sensor is an RFID sensor or a beacon sensor. A personal identification sensor for detecting an identifier transmitted from an ID tag in the management area;
A camera for shooting in the management area;
A server connected to the personal identification sensor and the camera via a network; an auxiliary sensor for detecting that a person is in the management area or a person is in the management area;
With
The server
A storage unit for storing a master for associating registered personal names and identifiers;
A communication unit that acquires the identifier from the personal identification sensor and acquires video data from the camera;
A processing unit for identifying an individual name associated with the acquired identifier from the master, and for associating the identified individual name with the acquired video data;
Have
The communication unit acquires a detection result from the auxiliary sensor,
The processing unit counts the number of people in the management area based on the detection result of the acquired auxiliary sensor, compares the number with the number of identifiers acquired from the personal identification sensor, and if they do not match, from the camera A management system characterized by associating warning information with acquired video data. A personal identification sensor for detecting an identifier transmitted from an ID tag in the management area;
A camera for shooting in the management area;
A server connected to the personal identification sensor and the camera via a network; a plurality of auxiliary sensors for detecting that a person is in the management area or a person is in the management area;
With
The server
A storage unit for storing a master for associating registered personal names and identifiers;
A communication unit that acquires the identifier from the personal identification sensor and acquires video data from the camera;
A processing unit for identifying an individual name associated with the acquired identifier from the master, and for associating the identified individual name with the acquired video data;
Have
The communication unit acquires a detection result from each auxiliary sensor,
The processing unit counts the number of people in the management area for each auxiliary sensor based on the acquired detection result of the auxiliary sensor,
If the counted number of people does not match between the auxiliary sensors, the first warning information is linked to the video data acquired from the camera,
If the counted number of people matches between the auxiliary sensors, it is compared with the number of identifiers acquired from the personal identification sensor. If the counted number of people does not match the number of identifiers, it is acquired from the camera. A management system characterized in that second warning information is associated with the recorded video data. The auxiliary sensor is one or two of the group consisting of a motion sensor, an infrared sensor, a voice sensor, a door opening / closing sensor, an illuminance sensor, a carbon dioxide concentration sensor, a Doppler sensor, a face recognition sensor, a human body recognition sensor, and a mat sensor. management system according to claim 3 or 4, characterized in that it is more sensors. The processing unit associates the acquired identifier with the detection date and time of the personal identification sensor and stores it in the sensor database, and associates the acquired image data with the shooting date and time of the camera and stores it in the image database.
When the communication unit receives a request for video data of a specific date and time from the terminal device, the processing unit searches the sensor database using the specific date and time as a search key and extracts the detected identifier. The personal name associated with the identifier is identified from the master, the video database is searched using the specific date and time as a search key, video data is extracted, and the personal name identified in the extracted video data is extracted. string pickled, management system according to any one of claims 1 to 5, wherein said communication unit, the personal name and transmits the image data that is associated string to the terminal device. When the communication unit receives a request for video data associated with a specific individual name from the terminal device, the processing unit identifies an identifier associated with the specific individual name from the master, and the identified identifier by searching the sensor database to extract a detection time as a search key, it searches the image database the extracted detection time was as a search key to extract the image data, the communication unit has been extracted video data or 7. The management system according to claim 6 , wherein a list of the extracted video data is transmitted to the terminal device. A second personal identification sensor for detecting an identifier transmitted from an ID tag in the second management area;
A second camera for photographing the inside of the second management area;
Further comprising
The communication unit acquires the identifier from each of the personal identification sensor and the second personal identification sensor, and acquires video data from each of the camera and the second camera,
The processing unit identifies an individual name associated with the identifier acquired from the individual identification sensor from the master, associates the identified individual name with video data acquired from the camera, and A personal name associated with the identifier acquired from a second personal identification sensor is identified from the master, and the identified personal name is associated with video data acquired from the second camera. The management system according to any one of claims 1 to 7 . The personal identification sensor detects the identifier transmitted from the ID tag in the management area,
The camera takes a picture of the management area,
A server obtains the identifier from the personal identification sensor and obtains video data from the camera;
The server identifies a personal name associated with the identifier acquired from the personal identification sensor from a master that associates the registered personal name with the identifier, and identifies the identified personal name from the camera. Linked to the acquired video data,
The server associates warning information with video data obtained from the camera when the name of an individual associated with the identifier obtained from the individual identification sensor cannot be identified from the master. Method. The management method according to claim 9 , wherein the personal identification sensor is an RFID sensor or a beacon sensor. The personal identification sensor detects the identifier transmitted from the ID tag in the management area,
The camera takes a picture of the management area,
A server obtains the identifier from the personal identification sensor and obtains video data from the camera;
The server identifies a personal name associated with the identifier acquired from the personal identification sensor from a master that associates the registered personal name with the identifier, and identifies the identified personal name from the camera. Linked to the acquired video data,
The auxiliary sensor detects that there is a person in the management area or that a person has entered the management area,
The server counts the number of persons in the management area based on the detection result of the auxiliary sensor, compares it with the number of identifiers acquired from the personal identification sensor, and if it does not match, acquired from the camera A management method characterized by associating warning information with video data. The personal identification sensor detects the identifier transmitted from the ID tag in the management area,
The camera takes a picture of the management area,
A server obtains the identifier from the personal identification sensor and obtains video data from the camera;
The server identifies a personal name associated with the identifier acquired from the personal identification sensor from a master that associates the registered personal name with the identifier, and identifies the identified personal name from the camera. Linked to the acquired video data,
Each of the plurality of auxiliary sensors detects that there is a person in the management area or that a person has entered the management area.
The server counts the number of people in the management area for each auxiliary sensor based on the detection result of the auxiliary sensor,
If the counted number of people does not match between the auxiliary sensors, the first warning information is linked to the video data acquired from the camera,
If the counted number of people matches between the auxiliary sensors, it is compared with the number of identifiers acquired from the personal identification sensor. If the counted number of people does not match the number of identifiers, it is acquired from the camera. A management method characterized by associating second warning information with the recorded video data. The auxiliary sensor is one or two of the group consisting of a motion sensor, an infrared sensor, a voice sensor, a door opening / closing sensor, an illuminance sensor, a carbon dioxide concentration sensor, a Doppler sensor, a face recognition sensor, a human body recognition sensor, and a mat sensor. management method according to claim 11 or 12, characterized in that it is more sensors. The server
Storing the date and time of detection associated with the identifier acquired from the personal identification sensor in the sensor database;
The video data acquired from the camera is linked to the shooting date and stored in the video database,
When a request for video data of a specific date and time is received from the terminal device, the detected identifier is extracted by searching the sensor database using the specific date and time as a search key, and the name of the individual associated with the extracted identifier is extracted. Specify from the master, search the video database using the specific date and time as a search key, extract video data, link the specified personal name to the extracted video data, and link the personal name The management method according to any one of claims 9 to 13 , wherein the received video data is transmitted to the terminal device. The server
When a request for video data associated with a specific individual name is received from the terminal device, an identifier associated with the specific individual name is identified from the master, and the sensor database is searched using the identified identifier as a search key. Extracting the detection date and time, searching the video database using the extracted detection date and time as a search key to extract the video data, and transmitting the extracted video data or a list of the extracted video data to the terminal device The management method according to claim 14 . A second personal identification sensor detects an identifier transmitted from an ID tag in the second management area;
The second camera takes a picture of the second management area,
The server acquires the identifier from each of the personal identification sensor and the second personal identification sensor, acquires video data from each of the camera and the second camera,
The server identifies an individual name associated with the identifier acquired from the individual identification sensor from the master, associates the identified individual name with video data acquired from the camera, and A personal name associated with the identifier obtained from two individual identification sensors is identified from the master, and the identified personal name is associated with video data obtained from the second camera. Item 16. The management method according to any one of Items 9 to 15 .