Management system, management device, imaging device, management method, and program

Abstract

To provide a management system etc. that, when a detection target device that is a voyeurism device or an eavesdropping device is detected, acquires information about a person who installed the detection target device. [Solution] The management system disclosed herein, when a device detection device installed in a toilet stall detects a device to be detected that is a hidden camera device or eavesdropping device, causes an imaging device installed in the toilet to perform a predetermined imaging process that can at least identify the image as having been taken after detection.

Description

[Technical Field]

[0001] The present disclosure relates to a management system, a management device, an imaging device, a management method, and a program. [Background technology]

[0002] Patent Document 1 discloses a suspected radio wave detection device that includes a wireless receiver and a smartphone or tablet having a suspected radio wave analysis means, and that detects wireless eavesdropping devices or wireless spy cameras. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] International Publication No. 2017 / 183165 Summary of the Invention [Problem to be solved by the invention]

[0004] However, even if the technology described in Patent Document 1 can detect target devices such as wireless eavesdropping devices and wireless hidden cameras, it cannot obtain information about the person who installed the target devices, so there is room for improvement in terms of its effectiveness in deterring the installation of such devices.

[0005] The object of the present disclosure is to provide a management system, management device, imaging device, management method, program, etc. that can obtain information about the person who installed a detection target device that is a voyeurism device or eavesdropping device when the detection target device is detected. [Means for solving the problem]

[0006] A management system according to a first aspect of the present disclosure, when a device detection device installed in a toilet stall detects a detection target device that is a voyeurism device or an eavesdropping device, causes an imaging device installed in the toilet to execute a predetermined imaging process that can at least identify the image as having been captured after detection.

[0007] A management device according to a second aspect of the present disclosure, when a device detection device installed in a toilet stall detects a detection target device that is a voyeurism device or an eavesdropping device, causes an imaging device installed in the toilet to execute a predetermined imaging process that can at least identify the image as having been captured after detection.

[0008] The imaging device according to the third aspect of the present disclosure is installed in a toilet, and when a device detection device installed in a toilet stall detects a detection target device that is a voyeurism device or an eavesdropping device, it executes a predetermined imaging process that allows the image to be identified as at least the image after detection.

[0009] A management method according to a fourth aspect of the present disclosure is such that, when a hidden camera device is detected by a device detection device installed in a toilet stall, a computer provided in an imaging device installed in a toilet or a management device connected to the imaging device causes the imaging device to perform a predetermined imaging process that can at least identify the image as having been captured after detection.

[0010] A program according to a fifth aspect of the present disclosure causes an imaging device installed in a toilet or a computer provided in a management device connected to the imaging device to execute a predetermined imaging process that, when a device detection device installed in a toilet stall detects a detection target device that is a voyeurism device or an eavesdropping device, can at least identify the image as having been captured after detection. [Effects of the Invention]

[0011] The present disclosure provides a management system, management device, imaging device, management method, program, etc. that can obtain information about the person who installed a detection target device that is a voyeurism device or eavesdropping device when the detection target device is detected. [Brief explanation of the drawings]

[0012] [Figure 1] 1 is a block diagram illustrating an example configuration of a management system according to the present disclosure. [Figure 2] FIG. 10 is a schematic diagram illustrating an example of a target device detection process according to the present disclosure. [Figure 3] FIG. 1 is a schematic diagram illustrating an example of the layout of a management system according to the present disclosure. [Figure 4] FIG. 10 is a flow diagram illustrating an example of a management process in the management system according to the present disclosure. [Figure 5] FIG. 10 is a block diagram illustrating another example configuration of the management system according to the present disclosure. [Figure 6] FIG. 10 is a schematic diagram illustrating another example of the layout of the management system according to the present disclosure. [Figure 7] 10 is a schematic diagram showing notification content sent to a mobile terminal device by a management system according to the present disclosure. FIG. [Figure 8] FIG. 10 is a flow diagram illustrating another example of the management process in the management system according to the present disclosure. [Figure 9] FIG. 10 is a block diagram illustrating another example configuration of the management system according to the present disclosure. [Figure 10] FIG. 2 is a diagram illustrating an example of a hardware configuration of an apparatus according to the present disclosure. DETAILED DESCRIPTION OF THE INVENTION

[0013] Hereinafter, embodiments will be described with reference to the drawings. In the embodiments, the same or equivalent elements may be denoted by the same reference numerals, and redundant description will be omitted as appropriate.

[0014] <First Embodiment> An example of the configuration of the management system 1 will be described below with reference to Fig. 1 and Fig. 2. Fig. 1 is a block diagram showing an example of the configuration of a management system according to the present disclosure. Fig. 2 is a schematic diagram showing an example of target device detection processing according to the present disclosure.

[0015] 1, the management system 1 is configured by connecting a management device 10, an imaging device 20, and device detection devices 30a, 30b, etc. via a network N. The management device 10 will be described assuming that it is configured as a single device, but it can also be configured as multiple devices with distributed functions. Note that while the network N is illustrated as a single network, the transmission and reception of information between the devices may be performed via different networks.

[0016] The management device 10 may include a detection information acquisition unit 11 and an instruction unit 12, which will be described later. The management device 10 may be, for example, a computer, and may include a control unit (not shown). This control unit may include the detection information acquisition unit 11 and the instruction unit 12 described above. This control unit may be realized, for example, by a processor such as a CPU (Central Processing Unit), a working memory, and a non-volatile storage device that stores a program. This program may be a program that causes a processor such as a CPU to execute the functions of the detection information acquisition unit 11 and the instruction unit 12. The control unit provided in the management device 10 may also be realized, for example, by an integrated circuit. The storage device may also store setting information required for various processes in the management device 10.

[0017] The imaging device 20 is an imaging device installed in the restroom and captures moving images. The imaging device 20 can also be called a camera. The imaging device 20 is not limited to a visible light camera, but may also be an infrared camera, etc. The imaging device 20 is preferably installed so that it includes at least the door of the restroom stall in its imaging range, but may also be installed in a location that is a passageway for other people who have installed hidden camera devices, such as the entrance and exit of the restroom. In this way, the imaging device 20 is preferably installed so that it includes the door in its imaging range, but in this case, considering the privacy of the stall, it is preferably installed so that it captures images from outside the stall.

[0018] The equipment detection devices such as the equipment detection devices 30a, 30b are installed in each of the cubicles to be monitored in the restrooms to be monitored. Hereinafter, when the equipment detection devices 30a, 30b, etc. are not to be distinguished from one another, they will be referred to as the equipment detection device 30.

[0019] The device detection device 30 is a device installed in a toilet stall and detects eavesdropping devices and hidden camera devices. Hereinafter, an example will be given in which the device to be detected is a hidden camera device, but the device to be detected may also be an eavesdropping device, or both a hidden camera device and an eavesdropping device. The device detection device may refer to a device for detecting eavesdropping devices, a device for detecting hidden camera devices, or a device for detecting eavesdropping and hidden camera devices. The device detection device 30 may be called, for example, a stationary eavesdropping and hidden camera device detection device.

[0020] The device detection device 30 can be installed to detect hidden camera devices within the confines of a private room. The method by which the device detection device 30 detects hidden camera devices is not important. For example, the device detection device 30 can detect hidden camera devices by receiving radio waves emitted by the hidden camera devices and determining whether or not a hidden camera device is present based on the waveform data. The device detection device 30 in this example can also be called a device scanner because it scans for radio waves emitted by hidden camera devices.

[0021] An example of the detection process is shown in Figure 2. Figure 2 illustrates past waveform data Dp, normal waveform data Dn, first abnormal waveform data Da1, and second abnormal waveform data Da2. The past waveform data Dp is waveform data or statistical data acquired in the past when there is no hidden camera device present and there are no problems, i.e., under normal circumstances. The normal waveform data Dn is waveform data of radio waves received under normal circumstances. The first abnormal waveform data Da1 is waveform data of radio waves received under abnormal circumstances when there is no hidden camera device present and there are no problems, for example, waveform data of radio waves received when a mobile terminal device such as a smartphone is being operated nearby. The second abnormal waveform data Da2 is waveform data of radio waves received under abnormal circumstances when there is a hidden camera device present, i.e., when there is a problem.

[0022] The device detection device 30 stores past waveform data Dp. The device detection device 30 also has a function for receiving radio waves. The device detection device 30 analyzes the waveform data of the received radio waves and compares it with the past waveform data Dp to determine whether or not a hidden camera device is present. This determination can also be performed by inputting the waveform data of the currently received radio waves into a trained model that has been machine-learned using at least one of the past waveform data Dp and past abnormal waveform data such as the second abnormal waveform data Da2. The algorithm, etc. of this trained model is not important.

[0023] For example, if the waveform data of the currently received radio waves is normal waveform data Dn or first abnormal waveform data Da1 that is similar to the past waveform data Dp, the device detection device 30 determines that a hidden camera device is not present. On the other hand, if the waveform data of the currently received radio waves is like second abnormal waveform data Da2, which has no similarity to the past waveform data Dp or is similar to past abnormal waveform data, the device detection device 30 determines that a hidden camera device is present. In this example, based on the hypothesis that the way radio waves are disturbed differs between a mobile terminal device and a hidden camera device, i.e., that changes occur in the radio waves, the presence of a hidden camera device is determined only if the radio waves are disturbed in the way that a hidden camera device does.

[0024] If device detection device 30 determines that a hidden camera device is present, it outputs detection information resulting from the detection of the hidden camera device to management device 10 via network N. Of course, the detection process for hidden camera devices in device detection device 30 is not limited to this example, and it may also be configured to detect, for example, abnormal noises that occur when a hidden camera device is installed.

[0025] The detection information acquisition unit 11 of the management device 10 acquires the detection information transmitted from the device detection device 30. This acquisition is performed by a notification unit (not shown) via the network N. The detection information acquisition unit 11 acquires the detection information from the detected device detection device 30 among the device detection devices 30a, 30b, etc. installed individually in the toilet stalls. When the detection information acquisition unit 11 acquires the detection information, it notifies the instruction unit 12 to that effect.

[0026] When the instruction unit 12 receives from the detection information acquisition unit 11 a notification that detection information has been acquired, that is, when a hidden camera device is detected by the device detection device 30 installed in a toilet stall, the instruction unit 12 gives the following instruction: In this case, the instruction unit 12 instructs the imaging device 20 installed in the toilet to execute a predetermined imaging process that will at least enable identification of the image as having been captured after detection.

[0027] The predetermined imaging process can be, for example, a process to start imaging. In this example, the instruction unit 12 sends an imaging start instruction to the imaging device 20, which normally does not perform imaging due to privacy or power saving considerations. This causes the imaging device 20 to start imaging and capture an image of the person who installed the surreptitious camera. The imaging data obtained after the imaging start may be transmitted to the management device 10 later or in real time and stored therein. There is a high possibility that the person who installed the surreptitious camera will be captured in the beginning of the imaging data obtained after the imaging start.

[0028] Alternatively, the predetermined imaging process may be, for example, a process of adding information indicating that a hidden camera device has been detected by the device detection device 30 to the image being captured. Hereinafter, this information will be referred to as additional information. The additional information may simply indicate the date and time of the image capture, or it may be a flag added to the image capture data. In this example, the instruction unit 12 sends an instruction to the imaging device 20, which is constantly capturing images, to add additional information. This allows the imaging device 20 to capture an image of the person who installed the hidden camera device and indicate the time when the person appears in the image using the additional information. The imaging data may be transmitted to and stored in the management device 10 later or in real time. Alternatively, the imaging data may be transmitted and stored in real time once the additional information has been added. The imaging data obtained in this manner increases the likelihood that the person who installed the hidden camera device will appear in the image near the area indicated by the additional information.

[0029] In this way, when a hidden camera device is detected by device detection device 30 installed in a toilet stall, management device 10 instructs imaging device 20 installed in the toilet to perform a predetermined imaging process, such as starting imaging or constantly imaging and adding additional information. Note that the predetermined imaging process is not limited to the process exemplified above, and any process can be used as long as it can at least identify the image as having been captured after detection.

[0030] Here, a brief description will be given of the management method according to this embodiment. In this management method, a computer such as a control unit provided in the management device 10 connected to the imaging device 20 installed in the toilet performs the following management process. In this management process, when a hidden camera device is detected by the device detection device 30 installed in a toilet stall, the computer causes the imaging device 20 to perform a predetermined imaging process that can at least identify the image as having been captured after detection. This management method can be similarly applied to the various application examples described above or below for the management system 1. The program stored in the above-mentioned management device 10 in an executable manner can be a program that causes the computer to execute the above-mentioned management process. This program can be similarly applied to the various application examples described above or below for the management system 1.

[0031] Next, a specific configuration and management processing example of the management system 1 will be described with reference to Fig. 3 and Fig. 4. Fig. 3 is a schematic diagram showing an example of the layout of a management system according to the present disclosure. Fig. 4 is a flow diagram for explaining an example of management processing in the management system according to the present disclosure.

[0032] In the example arrangement of Fig. 3, equipment detection devices 30a and 30b are installed in each of the stalls Ra, Rb, and Rc of the toilet T, excluding stall Rc, which is used as an equipment room. Of course, an equipment detection device 30 may also be installed in stall Rc. In this example arrangement, an imaging device 20 is installed on the ceiling at the end of the sink so that the doors of stalls Ra and Rb are included in the imaging range. A management device 10 is installed in a monitoring room M, and a display device 40, also installed in the monitoring room M, displays imaging data captured by the imaging device 20 from the management device 10 and imaging data captured by imaging devices installed in locations other than the toilets. In the monitoring room M, a monitor Pm performs monitoring while looking at the display device 40.

[0033] As described above, in the management system 1, the device detection device 30 is installed in the private room, and for example, it constantly scans and monitors radio waves, and if a problem is detected, it executes processing that includes at least a predetermined imaging process. This processing can include sounding an alarm or contacting the monitoring room M or the monitor Pm, and such examples are given below.

[0034] First, it is assumed that the device detection device 30 is constantly performing detection, such as constantly scanning radio waves within the range of a private room. For example, if a detection target device 2a is installed in a private room Ra by a voyeur Ps, the device detection device 30a will confirm a radio wave waveform that is different from previous ones and will transmit detection information to the management device 10, indicating that there is a high possibility that this private room Ra is a place where voyeurism may occur.

[0035] In addition, not limited to this example, the equipment detection device 30 may also transmit abnormality detection information to the management device 10 in the same manner as detection information when, for example, an attempt to move or destroy the equipment detection device 30 is detected by an internal sensor (not shown).

[0036] The management device 10 determines whether or not a hidden camera or other voyeuristic device has been detected by determining whether or not the device detection device 30 has received detection information indicating that the device detection device 30 has detected the voyeuristic device (step S1). In addition to this determination, the management device 10 may also determine whether or not anomaly detection information has been received, thereby determining whether or not an unauthorized operation has been performed on the device detection device 30.

[0037] The management device 10 waits to receive detection information or abnormality detection information until step S1 returns YES. If step S1 returns YES, the management device 10 instructs the imaging device 20 to start imaging (step S2). This causes the imaging device 20 to start imaging. As described above, step S2 may instruct the addition of additional information instead of instructing the imaging device 20 to start. Furthermore, the imaging data captured by the imaging device 20 is transmitted to the management device 10 in real time and can be displayed on the display device 40 in real time.

[0038] Thereafter, the management device 10 issues a notification to the monitoring room M by sounding an alarm on an audio output device (not shown) installed in the monitoring room M (step S3). This allows the monitoring person Pm to notice that the surreptitious photographer Ps has been displayed on the display device 40. This audio output device may also be provided in the display device 40.

[0039] Next, the management device 10 determines whether a predetermined time has elapsed (step S4). The predetermined time can be set in advance based on the average time it takes for the voyeur Ps to leave the restroom after installing the voyeur device.

[0040] When a predetermined time has elapsed, that is, when step S4 returns YES, management device 10 instructs imaging device 20 to end imaging (step S5). If the addition of additional information was instructed in step S2, management device 10 may instruct imaging device 20 in step S5 to add other additional information indicating the time when voyeur Ps left the restroom. Step S5 marks the end of the processing for one detection.

[0041] With the management system 1 configured as described above, when a detection target device is detected, it becomes possible to obtain information about the person who installed the detection target device. Therefore, the management system 1 also has the effect of deterring the installation of voyeuristic devices. Furthermore, with this configuration, the management system 1 can also reduce the incidence of crimes such as voyeurism while using the restroom.

[0042] As a comparative example, consider an example in which a portable device detection device, such as a smartphone, is used to detect hidden camera devices. In this comparative example, the owner of the device detection device is aware of the possibility of hidden camera footage, but those without the device are not. Furthermore, in this comparative example, restrooms have many obstructions and hiding places, making it time-consuming to find. Even if a hidden camera device is discovered, there is no way to deal with it. Even if the person who discovered it can choose not to use the stall, this information is not communicated to others, resulting in other people becoming victims of hidden camera footage. Furthermore, in this comparative example, there is no way to automatically notify the administrator of the discovery. Furthermore, in the comparative example, each person must perform the detection, which increases the time each person spends in the restroom, leading to congestion. In contrast, management system 1 can solve the various problems described above that arise from this comparative example.

[0043] <Embodiment 2> The second embodiment will be described focusing on the differences from the first embodiment, but the various examples described in the first embodiment can also be applied. The management system 1, notification system 3, and mobile terminal device 4 will be described with reference to Fig. 5. Fig. 5 is a block diagram showing another example of the configuration of a management system according to the present disclosure.

[0044] The management system 1 shown in Fig. 5 is connected to a notification system 3 via a network N. The management system 1 shown in Fig. 5 includes at least one of a notification unit 13 and an image processing unit 14 in the management system 1 shown in Fig. 1. The notification unit 13 sends notifications to the notification system 3 via a communication unit (not shown) as will be described later. The image processing unit 14 analyzes image data captured by the imaging device 20 and recognizes facial images.

[0045] The notification system 3 is a system that notifies users of the congestion level of one or more toilets, and can be connected to the management system 1 via a network N. The notification system 3 is a system that provides a service that visualizes the congestion level of the toilets. The notification system 3 can be operated as a system external to the management system 1, but can also be incorporated into the management system 1.

[0046] The user can check this notification, for example, on his / her own mobile terminal device 4. The notification system 3 may also display the notification content on a display device such as an electronic bulletin board installed near the entrance to the toilet or at various locations in the facility where the toilet is installed. The notification system 3 may be connected to the mobile terminal device 4 and its display device via a network N3. The network N3 may also be included in the network N.

[0047] The notification system 3 can be configured as a server device. This server device is assumed to be constructed as a single device, but it can also be constructed as a system in which functions are distributed across multiple devices. Although not shown, the notification system 3 can include a control unit that controls the entire system, a storage unit that stores various information, and a communication unit that communicates with external devices such as the management system 1 and the mobile terminal device 4. This control unit has a different function from that of the management device 10, but can also be realized by a processor, working memory, and a non-volatile storage device that stores a program. This program can be a program that causes the processor to execute the functions of the notification system 3.

[0048] The mobile terminal device 4 is a portable information processing device owned by a user of the notification system 3. The mobile terminal device 4 may be a mobile phone (including what is called a smartphone), a tablet, a mobile PC (Personal Computer), or the like. Although not shown, the mobile terminal device 4 may also include a control unit that performs overall control thereof, a storage unit that stores various information, and a communication unit that communicates with external devices such as the notification system 3. This control unit has a different function from that of the management device 10, but can similarly be realized by a processor, a working memory, a non-volatile storage device that stores a program, and the like. This program may be a program that causes the processor to execute the functions of the mobile terminal device 4.

[0049] When the notification unit 13 of the management device 10 receives the detection information, that is, when the device detection device 30 detects a hidden camera device, it transmits a signal indicating the detection to the notification system 3. By transmitting this signal, the notification unit 13 causes the notification system 3 to notify the user of information urging caution when entering the restroom. Hereinafter, this information will be referred to as warning information. When this signal is received from the management device 10, the notification system 3 may execute such a notification, or the signal transmitted from the management device 10 may itself include an instruction to perform such a notification.

[0050] The warning information may include a statement that the restroom is not completely safe due to the risk of voyeurism. Users who see the warning information can avoid using the restroom and prevent themselves from entering.

[0051] The notification system 3 may also determine the degree of congestion based on an image of the stall door captured by the imaging device and provide the information. This determination may also be performed based on a sensor on the stall door, a camera image near the toilet entrance, etc. The notification unit 13 may also be configured to provide the notification exemplified in step S3.

[0052] The image processing unit 14 recognizes the facial image of the person who exited the toilet stall from the detected image. Existing technology can be used to extract the facial image from the video data. The imaging device 20 can be called a face recognition camera because the captured image data is used for face recognition processing.

[0053] If a person is detected, and if there is a payment system or admission system based on face images in the same facility, the image processing unit 14 may identify the detected person based on the image of that system.

[0054] Furthermore, the image processing unit 14 may recognize another facial image, which is a facial image of a person who has left the other toilet through the door of the other toilet stall, from a video captured by another imaging device installed in the other toilet after a hidden camera device has been detected by another device detection device installed in the other toilet stall. In other words, the image processing unit 14 may perform similar facial image recognition for the other toilets.

[0055] The image processing unit 14 then determines the degree of similarity between the facial image recognized of the person exiting through the toilet stall door and the other facial image. This determination can be made by extracting features of both facial images and determining the degree of similarity between the features. This determination may be made using a trained model that has been machine-learned. By performing this similarity determination, it can be determined whether the same person has been detected in the same toilet or in a different toilet. The image processing unit 14 may also determine the degree of suspiciousness depending on the degree of similarity.

[0056] The image processing unit 14 can also transmit information indicating the recognized facial image, or the information and the results of the similarity determination, to the notification system 3, and can provide a notification to the user, etc., based on the information received by the notification system 3.

[0057] Next, a specific configuration of the management system 1 and an example of management processing will be described with reference to Figs. 6 to 8. Fig. 6 is a schematic diagram showing another example of the layout of the management system according to the present disclosure. Fig. 7 is a schematic diagram showing the content of a notification sent to a mobile terminal device by the management system according to the present disclosure. Fig. 8 is a flow chart for explaining another example of management processing in the management system according to the present disclosure.

[0058] 6 shows the arrangement example of FIG. 3 in which a notification system 3 is connected to the management device 10 and a user Pu of the notification system 3 has a mobile terminal device 4 in his / her possession.

[0059] 4 is executed by the management device 10 (steps S11 to S13). Next, the management device 10 notifies the notification system 3 that the detection target device 2a has been installed by the voyeur Ps (step S14). This enables the notification system 3 to notify the mobile terminal device 3 of the user Pu of the warning information.

[0060] The contents of the notification given here are, for example, as shown in Fig. 7. On the display unit 4a of the mobile terminal device 4, information 4b, 4c, 4d, etc. of each toilet are displayed as toilet congestion level information together with the date and time.

[0061] Information 4b about toilet T in Figure 6 may contain information encouraging the use of other toilets, as there is a possibility that a hidden camera device has been installed. As an example of a case where a hidden camera device has not been detected in toilet B and toilet B is not crowded, the information about toilet B may include a statement that the toilet is empty. As an example of a case where a hidden camera device has not been detected in toilet C but toilet C is crowded, the information about toilet C may include a statement that the toilet is crowded.

[0062] Next, the management device 10 recognizes a facial image of the person Ps who exited through the door of the stall of the toilet T from the image data after detection obtained by the process in step S12 (step S15). Next, the management device 10 executes a similarity calculation process to calculate the similarity between the facial image recognized in another toilet and the facial image of the person Ps (step S16). The order of steps S12 to S15 does not matter, as long as step S16 is executed after the process of step S15.

[0063] Next, the management device 10 determines whether the facial image of person Ps is similar to a facial image of a person recognized in the past, depending on whether the similarity calculated in step S16 is equal to or greater than a predetermined threshold (step S17). If it is determined in step S17 that they are similar, the management device 10 notifies the monitoring room M of the similarity (step S18), as in step S13. Thereafter, the management device 10 also notifies the notification system 3 of the similarity (step S19), as in step S14. The order of steps S18 and S19 does not matter.

[0064] After the processing of steps S18 and S19, or if step S17 is NO, the management device 10 determines whether a predetermined time has elapsed (step S20), similar to step S4. When the predetermined time has elapsed, that is, when step S20 is YES, the management device 10 instructs the imaging device 20 to end imaging (step S21). Step S21 marks the end of the processing for one detection.

[0065] As described above, the management system 1 illustrated in Figure 5 has the effects described in embodiment 1, and also has the effect of obtaining detailed information about the voyeur and of working in conjunction with an external notification system 3 to notify users of the notification system 3 of the presence of a voyeur device.

[0066] In other words, with the management system 1 configured as described above, when a detection target device is detected, not only can it obtain information about the person who installed the detection target device, but it can also obtain more detailed information about that person by performing facial recognition. Furthermore, with the management system configured as described above, it is possible to warn other users of the toilet of the possibility of a hidden camera device being installed by sending a notification to the notification system 3, thereby preventing other users from becoming victims of hidden camera footage. For these reasons, the management system 1 described in FIG. 5 can further increase the effect of deterring the installation of hidden camera devices and reducing the crime rate compared to the example described in FIG. 1.

[0067] Furthermore, the notification system 3 has been described as a system that notifies users of the degree of congestion in a restroom, but it may also be a notification system that reports criminals, for example, regardless of whether they are taking voyeuristic photos in a restroom.

[0068] <Third Embodiment> In the first and second embodiments, the management device 10 receives detection information from the device detection device 30, and the management device 10 transmits instructions to the imaging device 20. However, the management system 1 is not limited to such instruction procedures, and the device detection device 30 can also perform the instruction function of the management device 10 in the first and second embodiments. Regarding such an example, another configuration example of the management system 1 will be described with reference to FIG. 9. FIG. 9 is a block diagram showing another configuration example of the management system according to the present disclosure. Note that the layout example of the management system 1 shown in FIG. 9 is, for example, the layout example of FIG. 6.

[0069] 9 is the management system 1 shown in FIG. 5, except that the instruction unit 12 is provided on the device detection device 30 side, and the notification function of the notification unit 13 to the notification system 3 and the image processing unit 14 are provided on the imaging device 20 side. The instruction unit provided in the device detection device 30 will be described as the instruction unit 32. The notification unit and image processing unit provided in the imaging device 20 will be described as the notification unit 23 and the image processing unit 24, respectively.

[0070] When a hidden camera device is detected by device detection device 30, instruction unit 32 causes imaging device 20 installed in the toilet to execute a predetermined imaging process that will at least enable identification of the image as having been captured after detection. Instructor 32 transmits an instruction to imaging device 20 to execute such an imaging process via network N. The predetermined imaging process is as exemplified in embodiment 1.

[0071] When imaging device 20 receives this instruction, that is, when a hidden camera device is detected by device detection device 30 installed in a toilet stall, it executes a predetermined imaging process that can at least identify the video as having been captured after detection. Alternatively, instruction unit 32 can simply transmit detection information to imaging device 20 via network N, as long as imaging device 20 can interpret it and execute the predetermined imaging process.

[0072] Furthermore, when the notification unit 23 receives this instruction or detection information, that is, when a hidden camera device is detected by the device detection device 30, it transmits a signal indicating that the device has been detected to the notification system 3 via the network N. By transmitting this signal, the notification unit 23 causes the notification system 3 to notify the user of information urging caution when entering the restroom.

[0073] Furthermore, the image processing unit 24 executes the facial image recognition process and the like described as the image processing unit 14. That is, the image processing unit 24 recognizes the facial image of a person who has left the toilet through the toilet stall door from the video after detection from the imaging data acquired by the imaging device 20 itself. Furthermore, by adopting a configuration in which the imaging device 20 can receive image data obtained in a similar manner from other imaging devices, the image processing unit 24 can also execute processes such as determining the similarity with other facial images.

[0074] 9, the equipment detection device 30 also transmits detection information to the management device 10, and the detection information is acquired by the detection information acquisition unit 11. Then, the notification unit 13 issues an alarm to the monitoring room M by sounding an alarm on an audio output device (not shown) installed in the monitoring room M.

[0075] In this embodiment, the management system 1 shown in Fig. 9 may be configured without at least one of the notification unit 13, the notification unit 23, and the image processing unit 24. For example, in this embodiment, the management system 1 shown in Fig. 1 may be configured with an instruction unit 32 provided in the device detection device 30 instead of the instruction unit 12.

[0076] Here, a brief description will be given of the management method according to this embodiment. In this management method, a computer such as a control unit provided in the imaging device 20 installed in the restroom performs the following management process. In this management process, when a hidden camera device is detected by the device detection device 30 installed in a restroom stall, the computer causes the imaging device 20 to perform a predetermined imaging process that at least enables identification of the video as having been captured after detection. More specifically, causing the imaging device 20 to perform such a predetermined imaging process refers to causing the imaging unit of the imaging device 20 to perform such a predetermined imaging process. This management method can be similarly applied to the various application examples described above for the management system 1. The program stored in the imaging device 20 in an executable manner can be a program for causing the computer to perform the above management process. This program can be similarly applied to the various application examples described above for the management system 1.

[0077] <Other embodiments> The present invention is not limited to the above-described embodiments and can be modified as appropriate without departing from the spirit of the present invention. For example, in each embodiment, the functions of the management system, notification system, and each device included in these systems have been described. However, each device is not limited to the configuration example shown in the figure, and it is sufficient for each device to realize these functions, and additional functions may also be provided.

[0078] Each device described in the embodiments may have the following hardware configuration: Fig. 10 is a diagram showing an example of the hardware configuration of a device according to the present disclosure.

[0079] The device 100 shown in FIG. 10 may have a processor 101, a memory 102, and an interface (I / F) 103. The processor 101 may be, for example, a microprocessor, an MPU (Micro Processor Unit), or a CPU. The processor 101 may include multiple processors. The memory 102 is configured, for example, by a combination of a volatile memory and a non-volatile memory. The functions of each device described in each embodiment are realized by the processor 101 reading and executing a program stored in the memory 102. In this case, information can be sent and received with other devices via the I / F 103, which serves as a communication interface or an input / output interface.

[0080] The above-described program includes a set of instructions (or software code) that, when loaded into a computer, causes the computer to perform one or more functions described in the embodiments. The program may be stored in a non-transitory computer-readable medium or a tangible storage medium. By way of example and not limitation, computer-readable medium or tangible storage medium includes random-access memory (RAM), read-only memory (ROM), flash memory, solid-state drive (SSD) or other memory technology, CD-ROM, digital versatile disc (DVD), Blu-ray disc or other optical disk storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage device. The program may also be transmitted on a transitory computer-readable medium or communication medium. By way of example and not limitation, transitory computer-readable medium or communication medium includes electrical, optical, acoustic, or other forms of propagated signals.

[0081] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above-described embodiments. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, each embodiment can be combined with other embodiments as appropriate.

[0082] Each drawing is merely an example for describing one or more embodiments. Each drawing may relate not only to one particular embodiment, but also to one or more other embodiments. As will be understood by those skilled in the art, various features or steps described with reference to any one drawing can be combined with features or steps shown in one or more other drawings to create, for example, an embodiment not explicitly shown or described. Not all features or steps shown in any one drawing are necessary to describe an exemplary embodiment, and some features or steps may be omitted. The order of steps described in any drawing may be changed as appropriate.

[0083] A part or all of the above-described embodiments can be described as, but not limited to, the following supplementary notes. (Appendix 1) When a device detection device installed in a toilet stall detects a detection target device that is a voyeurism device or an eavesdropping device, the device detection device causes an imaging device installed in the toilet to perform a predetermined imaging process that can at least identify the image as having been detected. Management system. (Appendix 2) The predetermined imaging process is a process of starting imaging. 1. A management system as described in Appendix 1. (Appendix 3) The predetermined imaging process is a process of adding information indicating that the detection target device has been detected by the device detection device to the image being captured. 1. A management system as described in Appendix 1. (Appendix 4) The imaging device is installed so as to include at least the door of the private room in an imaging range. 4. The management system according to any one of appendices 1 to 3. (Appendix 5) When the detection target device is detected by the device detection device, a signal indicating the detection is transmitted to a notification system that notifies a user of the congestion level of the restroom, and the notification system notifies the user of information urging caution against entering the restroom. 5. The management system according to any one of appendices 1 to 4. (Appendix 6) Recognizing a facial image of a person who has exited the toilet through the door of the toilet stall from the video image after the detection. 6. The management system according to any one of appendices 1 to 5. (Appendix 7) After a detection target device, which is a voyeurism device or an eavesdropping device, is detected by a device detection device installed in a cubicle of another toilet, another facial image, which is a facial image of a person who has left the cubicle of the other toilet, is recognized from an image captured by a camera device installed in the cubicle of the other toilet; determining a similarity between the recognized face image of the person who has left the toilet through the door of the toilet stall and the other face image; 10. The management system described in Appendix 6. (Appendix 8) When a device detection device installed in a toilet stall detects a detection target device that is a voyeurism device or an eavesdropping device, the device detection device causes an imaging device installed in the toilet to perform a predetermined imaging process that can at least identify the image as having been detected. Management device. (Appendix 9) The predetermined imaging process is a process of starting imaging. 9. The management device of claim 8. (Appendix 10) The predetermined imaging process is a process of adding information indicating that the detection target device has been detected by the device detection device to the image being captured. 9. The management device of claim 8. (Appendix 11) The imaging device is installed so as to include at least the door of the private room in an imaging range. The management device according to any one of Supplementary notes 8 to 10. (Appendix 12) When the detection target device is detected by the device detection device, a signal indicating the detection is transmitted to a notification system that notifies a user of the congestion level of the restroom, and the notification system notifies the user of information urging caution against entering the restroom. 12. The management device according to any one of Supplementary Notes 8 to 11. (Appendix 13) Recognizing a facial image of a person who has exited the toilet through the door of the toilet stall from the video image after the detection. 13. The management device according to any one of Supplementary Notes 8 to 12. (Appendix 14) After a detection target device, which is a voyeurism device or an eavesdropping device, is detected by a device detection device installed in a cubicle of another toilet, another facial image, which is a facial image of a person who has left the cubicle of the other toilet, is recognized from an image captured by a camera device installed in the cubicle of the other toilet; determining a similarity between the recognized face image of the person who has left the toilet through the door of the toilet stall and the other face image; 14. The management device of claim 13. (Appendix 15) It is installed in the toilet, When the device detection device installed in the toilet stall detects a detection target device that is a voyeur device or an eavesdropping device, the device detection device executes a predetermined imaging process that can at least identify the image as having been captured after detection. Imaging device. (Appendix 16) The predetermined imaging process is a process of starting imaging. 16. The imaging device of claim 15. (Appendix 17) The predetermined imaging process is a process of adding information indicating that the detection target device has been detected by the device detection device to the image being captured. 16. The imaging device of claim 15. (Appendix 18) The imaging device is installed so as to include at least the door of the private room in an imaging range. 18. The imaging device according to any one of appendices 15 to 17. (Appendix 19) When the detection target device is detected by the device detection device, a signal indicating the detection is transmitted to a notification system that notifies a user of the congestion level of the restroom, and the notification system notifies the user of information urging caution against entering the restroom. 19. The imaging device according to any one of appendices 15 to 18. (Appendix 20) Recognizing a facial image of a person who has exited the toilet through the door of the toilet stall from the video image after the detection. 20. The imaging device according to any one of appendices 15 to 19. (Appendix 21) determining the degree of similarity between the facial image recognized of the person who left through the door of the toilet stall and another facial image, which is a facial image of the person who left through the door of the other toilet stall, recognized from a video captured by another imaging device installed in the other toilet after a detection target device, which is a voyeurism device or an eavesdropping device, is detected by another device detection device installed in the other toilet stall; 21. The imaging device of claim 20. (Appendix 22) A computer provided in an imaging device installed in the toilet or a management device connected to the imaging device, When a detection target device, which is a voyeurism device or an eavesdropping device, is detected by the device detection device installed in the toilet stall, the imaging device is caused to perform a predetermined imaging process that can identify that the image is at least a post-detection image. Management method. (Appendix 23) The predetermined imaging process is a process of starting imaging. The management method described in Appendix 22. (Appendix 24) The predetermined imaging process is a process of adding information indicating that the detection target device has been detected by the device detection device to the image being captured. The management method described in Appendix 22. (Appendix 25) The imaging device is installed so as to include at least the door of the private room in an imaging range. A management method according to any one of appendices 22 to 24. (Appendix 26) When the detection target device is detected by the device detection device, the computer transmits a signal indicating the detection to a notification system that notifies a user of the degree of congestion of the restroom, and causes the notification system to notify the user of information that warns them to be careful about entering the restroom. A management method described in any one of Appendices 22 to 25. (Appendix 27) the computer recognizes a facial image of the person who exited through the door of the toilet stall from the video image after the detection; A management method described in any one of Appendices 22 to 26. (Appendix 28) The computer determines the degree of similarity between the facial image recognized of the person who left through the door of the toilet stall and another facial image, which is a facial image of the person who left through the door of the other toilet stall and is recognized from a video captured by another imaging device installed in the other toilet after a detection target device that is a voyeurism device or an eavesdropping device is detected by another device detection device installed in the other toilet stall. The management method described in Appendix 27. (Appendix 29) A computer provided in an imaging device installed in the toilet or a management device connected to the imaging device, When a detection target device, which is a voyeurism device or an eavesdropping device, is detected by the device detection device installed in the toilet stall, a predetermined imaging process is performed on the imaging device so that the image can be identified as at least an image after detection; A program that executes a process including the above. (Appendix 30) The predetermined imaging process is a process of starting imaging. 29. The program described in Appendix 29. (Appendix 31) The predetermined imaging process is a process of adding information indicating that the detection target device has been detected by the device detection device to the image being captured. 29. The program described in Appendix 29. (Appendix 32) The imaging device is installed so as to include at least the door of the private room in an imaging range. A program according to any one of appendices 29 to 31. (Appendix 33) The process includes a process of, when the detection target device is detected by the device detection device, transmitting a signal indicating the detection to a notification system that notifies a user of the congestion level of the restroom, and causing the notification system to notify the user of information that warns them to be careful about entering the restroom. A program according to any one of appendices 29 to 32. (Appendix 34) The processing includes processing for recognizing a facial image of a person who has exited the toilet through a door of the toilet stall from the image after the detection. A program according to any one of appendices 29 to 33. (Appendix 35) The processing includes a process of determining a degree of similarity between the facial image recognized of the person who has left the toilet through the door of the stall and another facial image, which is a facial image of the person who has left the toilet through the door of the stall of the other toilet, recognized from a video captured by another imaging device installed in the other toilet after a detection target device that is a voyeurism device or an eavesdropping device is detected by another device detection device installed in the stall of the other toilet. 34. The program described in Appendix 34. [Explanation of symbols]

[0084] 1 Management System 2a, 2b Device to be detected 3. Notification System 4. Mobile terminal devices 10 Management device 11 Detection information acquisition section 12 Instruction part 13 Notification Department 20 Imaging device 23 Notification Department 24 Image processing section 30, 30a, 30b equipment detection device 32 Instruction section 100 devices 101 processors 102 memory 103 Interface N, N3 network

Claims

1. When a device detection device installed in a toilet stall detects a detection target device that is a voyeur device or an eavesdropping device, the device detection device causes an imaging device installed in the toilet to perform a predetermined imaging process that can at least identify the image as having been detected. Management system.

2. The predetermined imaging process is a process of starting imaging. The management system according to claim 1 .

3. The predetermined imaging process is a process of adding information indicating that the detection target device has been detected by the device detection device to the image being captured. The management system according to claim 1 .

4. The imaging device is installed so as to include at least the door of the private room in an imaging range. The management system according to claim 1 or 2.

5. When the detection target device is detected by the device detection device, a signal indicating the detection is transmitted to a notification system that notifies a user of the congestion level of the restroom, and the notification system notifies the user of information that warns the user to be careful about entering the restroom. The management system according to claim 1 or 2.

6. Recognizing a facial image of a person who has exited the toilet through the door of the toilet stall from the video image after the detection. The management system according to claim 1 or 2.

7. When a device detection device installed in a toilet stall detects a detection target device that is a voyeur device or an eavesdropping device, the device detection device causes an imaging device installed in the toilet to perform a predetermined imaging process that can at least identify the image as having been detected. Management device.

8. It is installed in the toilet, When the device detection device installed in the toilet stall detects a detection target device that is a voyeur device or an eavesdropping device, the device detection device executes a predetermined imaging process that can at least identify the image as having been captured after detection. Imaging device.

9. A computer provided in an imaging device installed in the toilet or a management device connected to the imaging device, When a detection target device, which is a voyeurism device or an eavesdropping device, is detected by the device detection device installed in the toilet stall, the imaging device is caused to execute a predetermined imaging process that can identify the image as at least a post-detection image. Management method.

10. A computer provided in an imaging device installed in the toilet or a management device connected to the imaging device, When a device detection device installed in a toilet stall detects a device to be detected, which is a hidden camera device or a wiretapping device, the program causes the imaging device to execute a predetermined imaging process that can at least identify the image as having been captured after detection.

Images