JP6970277B2 - Monitoring system - Google Patents

Description

The present invention relates to a monitoring system , and more particularly to a monitoring system that monitors a monitoring area using a piezoelectric element.

In recent years, as security problems have accelerated, security measures such as surveillance cameras, heat sensors, voice recorders, millimeter-wave radars, GPS, etc. have diversified, and the amount of information handled tends to increase. However, these individual sensing techniques also have drawbacks, and a technique for using a plurality of sensors in combination to compensate for the drawbacks has also been proposed (see, for example, Patent Document 1).

Japanese Unexamined Patent Publication No. 2014-39184

However, due to the improvement of sensing technology, there are scenes where privacy issues are touched when using it, and sensing technology that considers privacy and enhances security accuracy is required.

The present invention has been made in view of such a situation, and an object of the present invention is to solve the above-mentioned problems.

The present invention detects a plurality of piezoelectric elements disposed in a predetermined arrangement in railway home monitoring area, the motion vector of the subject in weighted from a change of the piezoelectric elements in the weighted state of the plurality of said piezoelectric element Then, the existence of the monitoring target is detected from the motion vector, and the piezoelectric element in the area set as the dangerous area in the railway platform is detected to be in a weighted state, so that the monitoring target exists in the dangerous area. It detected, when the monitored detects the presence, in the image showing the monitoring area, and a monitoring device that displays the motion vector and the positional information of the monitoring target.
In the present invention, the surveillance device includes a surveillance camera that captures the surveillance area, and a video recording device that causes the surveillance camera to capture the surveillance area only when a predetermined weight range is detected by the piezoelectric element. To prepare for.
In the present invention, the monitoring device determines whether or not an abnormality has occurred in the weighted object from the weighted piezoelectric element among the plurality of the piezoelectric elements.
In the present invention, the monitoring device counts the number of entrances and exits to the monitoring area by detecting the motion vector.

According to the present invention, it is possible to suppress the operation of the surveillance camera, save power, suppress the amount of surveillance record information, and further shorten the time required for confirmation by an administrator or the like. From another point of view, privacy-friendly monitoring technology can be realized.

It is a figure which shows the schematic structure of the monitoring system which concerns on 1st Embodiment. It is a flowchart which shows the processing example of the monitoring system which concerns on 1st Embodiment. It is a figure which showed the piezoelectric element aggregate installed in the monitoring area which concerns on 2nd Embodiment. It is a flowchart which shows the processing example of the monitoring system which concerns on 2nd Embodiment. It is a figure which showed the piezoelectric element aggregate installed in the monitoring area which concerns on 3rd Embodiment. It is a flowchart which shows the processing example of the monitoring system which concerns on 3rd Embodiment. It is a figure which showed the piezoelectric element aggregate installed in the monitoring area, and the piezoelectric element position information visualization image which concerns on 4th Embodiment. It is a flowchart which shows the processing example of the monitoring system which concerns on 4th Embodiment.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
<First Embodiment>
FIG. 1 is a diagram showing a schematic configuration of a monitoring system 1 according to the present embodiment. The surveillance system 1 records a surveillance camera 15 that captures a surveillance area, a plurality of piezoelectric elements 11 (load cells) installed in a regular arrangement (for example, in a grid pattern) on a surveillance target, and an image captured by the surveillance camera 15. A recording device 17 is provided. Here, 16 piezoelectric elements 11 are arranged in a 16 × 16 grid pattern. These plurality of piezoelectric elements 11 are collectively referred to as a piezoelectric element aggregate 13. The output of the piezoelectric element assembly 13 is connected to the surveillance camera 15 and the surveillance device (video recording function) 17 by the contact signal line. Further, the surveillance camera 15 is connected to the surveillance device 17 by a video signal transmission cable. In the figure, one piezoelectric element 11 shown by hatching is shown as a load detection piezoelectric element 12 in a weighted state to which a physical load is applied.

FIG. 2 is a flowchart showing an example of monitoring processing for the monitoring area, and shows an example of processing by the monitoring system 1 of FIG. When a physical load is applied to any of the piezoelectric elements 11 of the piezoelectric element aggregate 13 in the monitoring region, the monitoring camera 15 is notified to that effect (S21). The surveillance camera 15 performs a weighted range determination process for determining whether or not the weighted range is within a predetermined range (S22). For example, when a small animal such as a dog or a cat invades the surveillance area, it may not be necessary to activate the camera function of the surveillance camera 15, so such a case is excluded.

When it is out of the predetermined weighting range (No in S23), the surveillance camera 15 maintains the same state. If it is within the predetermined weighting range (Yes in S23), the surveillance camera 15 is a camera if the camera function is activated (Yes in S24) and if it is still activated and not activated (No in S24). The function is activated (S25), and the shooting data is sent to the monitoring device 17. The monitoring device 17 records the shooting data sent from the monitoring camera 15 (S26). By such processing, the operation of the surveillance camera 15 can be suppressed, power saving can be achieved, the amount of surveillance record information can be suppressed, and the time required for confirmation by the administrator or the like can be shortened.

<Second embodiment>
FIG. 3 is a diagram showing the piezoelectric element assembly 31 of the present embodiment, in which 324 piezoelectric elements are arranged in an 18 × 18 grid pattern and installed in a monitoring area. As a monitoring area, we assume facilities that are often used by people in need of support, such as medical and welfare facilities and multi-functional toilets. In medical and welfare facilities, piezoelectric elements are installed on the ground surface where people walk. In public toilets, piezoelectric elements will be installed on the floor and toilet bowl. In such a facility, a weighted state in which a person is standing as originally assumed is regarded as a normal state, and a weighted state such as a state in which a person is collapsed is regarded as an abnormal state. As the device for performing the monitoring process, the monitoring device 17 of the monitoring system 1 of FIG. 1 can be used. When an abnormality occurs, visualization information is automatically processed, the state of the monitored object is automatically detected, and the prediction accuracy is improved by deep learning according to the situation.

The piezoelectric element group shown in the 2 × 3 rectangular area at the lower left of the figure is a normal load piezoelectric element 32 in a normal weighted state. The piezoelectric element group in the irregularly shaped region on the upper right of the figure is the abnormal load piezoelectric element 33 whose load state is abnormal.

FIG. 4 is a flowchart showing an example of monitoring processing for the monitoring area. When a physical load is applied to the piezoelectric elements constituting the piezoelectric element assembly 31 (S41), the monitoring device 17 performs a weighted state determination process (S42). When the load is normal (Yes in S43), the monitoring device 17 monitors the normal weighted state, and after a certain period of time has elapsed after the normal state is confirmed (S44), the grounding target is grounded to the piezoelectric element. A predetermined alarm is issued to (generally a user of the facility) to confirm the presence or absence of an abnormality (S46). Further, when the load is abnormal (No in S43), the monitoring device 17 monitors the abnormal weighted state, and when a certain time elapses after the abnormal state is confirmed (S45), a predetermined value is set for the installation target. An alarm is issued and the presence or absence of an abnormality is confirmed (S46). Generally, in the case of an abnormal state, an alarm is issued after a shorter period of time as compared with the case of a normal state.

The monitoring device 17 determines an abnormality from the response to the alarm (S47), and if it is normal (No in S48), the monitoring state is set to the normal state and the process is terminated. In the case of an abnormality (Yes in S48), the monitoring device 17 issues an alarm to the manager (area manager) of the monitoring area (S49). The area manager receives the alarm and responds by going to the monitoring area.

In this way, the piezoelectric element assembly 31 can easily visualize the state (position information) of the grounded person without using the monitoring camera 15, so that it is possible to perform monitoring processing in consideration of privacy. ..

<Third embodiment>
FIG. 5 is a diagram showing the piezoelectric element assembly 51 of the present embodiment, in which 1024 piezoelectric elements are arranged in a 32 × 32 grid pattern and installed in a monitoring area. In the present embodiment, the movement of the piezoelectric element (movement detection piezoelectric element 52), which is a piezoelectric element to which a physical load is applied in the piezoelectric element assembly 51 and moves with the passage of time, with the venue of a meeting or event as a monitoring area. By detecting the vector 53, the number of people entering and leaving the monitoring area is counted.

FIG. 6 is a flowchart showing an example of monitoring processing for the monitoring area.
When a physical load is applied to the piezoelectric elements constituting the piezoelectric element assembly 51 (S61), the monitoring device 17 detects and calculates the weighted movement of a person, a wheelchair, or the like (S62), and the movement detection piezoelectric element 52. The movement vector is detected and calculated (S63). The monitoring device 17 counts the number of people entering and exiting depending on whether the moving vector 53 enters or exits a predetermined position (position corresponding to an entrance or the like) of the monitoring area (here, the piezoelectric element assembly 51) (S64). The method for detecting and calculating the weighted movement of a person or a wheelchair is to prepare a model in advance and obtain it from the degree of matching with it. Models can be learned and optimized by technologies such as AI and deep learning.

In this way, the piezoelectric element assembly 51 can easily visualize the state (position information) of the grounded person without using the monitoring camera 15, so that the monitoring process in consideration of the privacy of the visitors can be performed. It can be carried out. When the surveillance camera 15 is used, the surveillance processing load can be suppressed by performing processing such as starting / recording when there is an abnormal movement in the calculated movement vector 53, for example.

<Fourth Embodiment>
FIG. 7 is a diagram showing a piezoelectric element assembly 71 (FIG. 7 (a)) and a piezoelectric element position information visualization image 72 (FIG. 7 (b)) installed in the monitoring area. Here, assuming a railway platform as a monitoring area, 1024 piezoelectric elements are arranged and installed in a grid pattern in 32 × 32. Here, the same surveillance camera 15 as in FIG. 1 photographs and monitors the monitored area, but the movement of a person detected by the piezoelectric element aggregate 71 in the display device of the monitoring device 17 separately from the image. Etc. are shown as a piezoelectric element position information visualization image 72 in the railway home monitoring assist image, and the area that is the blind spot of the surveillance camera 15 is monitored, and the movement that cannot be immediately grasped by the image alone is monitored. The right side of the piezoelectric element assembly 71 is the line side 75.

In the monitoring area, there are installation objects 73 such as stairs, elevators, and escalators, and visually observable obstacles 76 such as pillars, and the piezoelectric elements are removed at these positions. Here, it is shown that the person 74 in the vicinity of the installation object 73 on the upper left of the figure is moving toward the right (that is, the track side 75). In addition, there is an invisible person 77 that cannot be seen from the surveillance camera 15 near the obstacle 76, and a dangerous area person 78 exists in the dangerous area immediately on the track side 75, and a plurality of persons in the non-dangerous area also exist. There are 79 people.

In the monitoring device 17, the display device can display an image as shown in FIG. 7B (piezoelectric element position information visualization image 72 showing a railway home monitoring assist image). It is represented by the top view of the railway platform to be monitored. Here, the person 74 moving at a certain speed or higher, the motion vector 74a thereof, the dangerous area person 78, and the invisible person 77 are displayed, and the non-dangerous area person 79 is not particularly displayed.

FIG. 8 is a flowchart showing an example of monitoring processing for the monitoring area. When a physical load is applied to the piezoelectric elements constituting the piezoelectric element assembly 71 (S81), the monitoring device 17 performs a dangerous operation determination process (S82) and a dangerous area determination process (S85).

In the dangerous operation determination process (S82), the monitoring device 17 looks at the entire monitoring area and determines whether or not there is a person running to the track side 75. When there is no person running (No in S83), the monitoring device 17 ends without displaying the piezoelectric element position information visualization image 72 in particular.

When there is a person running (Yes in S83), the monitoring device 17 shows the person 74 and its motion vector 74a in the railway home monitoring assist image (piezoelectric element position information visualization image 72) as shown in FIG. 7 (b). An arrow indicating (vector information) is displayed (S84). At this time, the arrow may be displayed in a color or size that reflects the size (that is, the degree of danger) of the motion vector 74a.

In the dangerous area determination process (S85), the monitoring device 17 determines whether or not a person is present in the dangerous area from the weighted state of the piezoelectric element in the dangerous area set in advance. When there is no person in the danger zone (No in S86), the monitoring device 17 ends without displaying the piezoelectric element position information visualization image 72 in particular.

When a person is present in the dangerous area (Yes in S86), the monitoring device 17 displays the person in the dangerous area (person 77 invisible in FIG. 7B or person 78 in the dangerous area) as a railway home monitoring assist image (piezoelectric element position). It is displayed on the information visualization image 72) (S87).

In addition, the monitoring device 17 may focusly photograph and display a person (74, 77, 78) who is determined to be a monitoring target with a high possibility of danger with the monitoring camera 15 and warn the administrator. ..

As described above, in the first to fourth embodiments, it is possible to acquire accurate information on the grounding monitoring target (the one that is grounded to the piezoelectric element and applies a physical load), which cannot be obtained by visible information or radar information. .. As a result, they can be linked with the surveillance camera 15, the operation of the surveillance camera 15 can be restricted, power saving can be achieved, the amount of surveillance recorded information can be minimized, and the time required for confirmation can be shortened. In addition, it is possible to acquire vector information from the way people walk and the movement of wheelchairs, improve the accuracy of entry / exit counting in a specific area, detect abnormal movements, and visualize the position information of the grounding monitoring target. It is possible to strengthen security technology that cannot be covered by conventional sensing technology.

The present invention has been described above based on the embodiments. It is understood by those skilled in the art that this embodiment is an example, and that various modifications are possible in the combination of each of these components, and that such modifications are also within the scope of the present invention.

The present invention and the present embodiment can be used for a surveillance camera, a surveillance device, and a surveillance system, and can be used for a surveillance technique in consideration of privacy in surveillance. This application claims the benefit of priority on the basis of Japanese application Japanese Patent Application No. 2018-056307 filed on March 23, 2018, the entire disclosure of which is incorporated herein by reference.

1 Monitoring system 11 Piezoelectric element 12 Load detection piezoelectric element 13, 31, 51, 71 Piezoelectric element assembly 15 Monitoring camera 17 Monitoring device 32 Normal load piezoelectric element 33 Abnormal load piezoelectric element 52 Movement detection piezoelectric element 53, 74a Motion vector 72 Piezoelectric Element position information visualization image 73 Installation object 74, 79 people 75 Line side 76 Obstacles 77 Invisible person 78 Danger area person

Claims (4)

Multiple piezoelectric elements installed in a predetermined arrangement in the monitoring area of the railway platform,
Detecting a motion vector of a subject weighted from a change of the piezoelectric elements in the weighted state of the plurality of the piezoelectric elements, setting as to detect the presence of the monitored from the motion vector, danger zones in the train home When it is detected that the piezoelectric element in the monitored area is in a weighted state, the presence of a monitoring target in the dangerous area is detected, and the presence of the monitoring target is detected, the monitoring is displayed on the image showing the monitoring area. a monitoring device that displays the motion vector and the positional information of the target,
A monitoring system characterized by being equipped with. The monitoring device includes a surveillance camera that captures the surveillance area and a surveillance camera.
A video recording device that allows the surveillance camera to capture the surveillance area only when a predetermined weight range is detected in the piezoelectric element.
The monitoring system according to claim 1, wherein the monitoring system is provided. The monitoring device, among a plurality of the piezoelectric element, monitoring as set forth in the piezoelectric element of the weighting condition, to claim 1, characterized in that determining whether an abnormality in a subject in weight has occurred system. Said monitoring device, said by detecting the motion vector, the monitoring system according to claim 1, characterized by counting the number of entry and exit to the monitoring area.

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