TWI748666B - Intelligent anti-robbery notification system - Google Patents

Abstract

An intelligent anti-robbery notification system is connected to an external alarm system. The intelligent anti-robbery notification system includes a plurality of monitoring devices, a server and at least one management device. The monitoring device includes a lens and a thermal imaging module. The lens is used to generate an image data. The thermal imaging module is used to generate thermal imaging data. The server is connected to the monitoring device and used to identify a plurality of hot spots from the image data and the thermal imaging data, and the image data is divided into a plurality of staff blocks corresponding to each hot spot. The server detects the location of hotspots, if the hotspot moves to inconsistent staff blocks, it will be considered abnormal, and a warning message is generated and send to the alarm system.

Description

Intelligent anti-rush notification system

A notification system, especially an intelligent anti-rush notification system.

Banks handle people's deposits, remittances, lending and other businesses, so there will be a large amount of cash flow in the bank, and they are often coveted by criminals, and there are probably many people in and out of the bank, and its safety is very important.

At present, although most banks are equipped with security personnel, the actual situation still requires the presence of the police to eliminate the situation. Therefore, the time to notify the police after the incident is very important. However, the method of reporting to the police is that the bank personnel on the scene operate the alarm system, and they cannot respond immediately. And occasionally, people are under control and cannot operate the alarm system.

Therefore, how to solve the above problems is worth considering for those with ordinary knowledge.

This creation provides an intelligent anti-rush notification system, which uses artificial intelligence, image recognition and thermal imaging technology to determine the situation in the bank, and immediately informs the police unit, which can avoid the situation where personnel cannot operate the alarm system.

This creation provides an intelligent anti-rush notification system, which is communicatively connected to an external alarm system. The intelligent anti-rush notification system includes a plurality of monitoring devices, a server host and at least one management terminal device. The monitoring device includes a camera lens and a thermal imaging module. The camera lens is suitable for producing an image data material. The thermal imaging module is suitable for generating a thermal imaging data. The server host is communicatively connected to the monitoring device, and the server host includes a biometric identification module and an arithmetic module. The biometric module receives the image data and the thermal imaging data, and provides an identification code and a hot spot location data according to a plurality of hot spots in the thermal imaging data. According to the image data, the computing module divides a plurality of personnel blocks on the image data, and these personnel blocks correspond to the specific hot spot, and determine the difference between the hot spot location data of the hot spot and the personnel block If the hotspot location data does not match the personnel block, a warning message is generated and sent to the alarm system. The management terminal device is communicatively connected to the server host, and the management terminal device includes a display interface suitable for displaying the image data, the thermal imaging data and the hot spot. Wherein, the calculation module is further adapted to determine the temperature of each of the hot spots, and if the temperature is abnormal, the warning message is generated and sent to the alarm system.

The above-mentioned intelligent anti-rush notification system, wherein the calculation module is further adapted to calculate a movement trajectory of each of the hotspots, and when the movement trajectory enters the non-matching personnel block, the warning message is generated and sent to the alarm system .

In the above-mentioned intelligent anti-rush notification system, the calculation module is also suitable for calculating a moving speed of the hot spot, the moving track moves at a speed higher than a speed threshold, and the warning message is generated and sent to the alarm system.

The above-mentioned intelligent anti-rush notification system, wherein the calculation module is further adapted to calculate the average body temperature of a field based on the temperature of each hot spot, and when the average body temperature is higher than a temperature threshold, the warning message is generated and sent to The alert system.

In the above-mentioned intelligent anti-robbing notification system, the biometric identification module gives the identification code based on a facial feature image of the hot spot.

In the above-mentioned intelligent anti-rush notification system, the computing module is an artificial intelligence module that has undergone semi-supervised training.

10: Alarm system

100: Intelligent anti-rush notification system

110: Monitoring device

111: Camera lens

112: Thermal imaging module

120: Servo host

121: Biometric Module

122: Computing Module

130: Management device

131: display interface

200: image data

201, 201a~201e: hotspot

210a, 210b: personnel area

Figure 1 shows the structure diagram of the intelligent anti-rush notification system created by this creation.

2A and 2B are schematic diagrams of image data.

This creation provides an intelligent anti-rush notification system that monitors images in the bank, uses thermal imaging cameras and artificial intelligence to analyze the status of personnel in the field, and immediately alarms and informs relevant units when abnormalities occur.

Please refer to Figure 1. Figure 1 is a schematic diagram of the structure of the intelligent anti-rush notification system created for this creation. The intelligent anti-rush notification system 100 of this creation is a communication connection to an external alarm system 10. The alarm system 10 is, for example, a notification system of a police unit or a security company, and upon receiving a warning message, it will send personnel to the scene. The intelligent anti-rush notification system 100 of the present invention includes a plurality of monitoring devices 110, a server host 120 and at least one management terminal device 130. Among them, the server host 120 is communicatively connected to the monitoring device 110 and the management terminal device 130.

The monitoring device 110 is a device installed in a monitoring field, such as a monitor, which can be installed around the monitoring field and photographing the monitoring field from multiple angles. In this embodiment, the monitoring device 110 further includes a camera lens 111 and a thermal imaging module 112. The camera lens 111 is used to photograph the monitored field and generate an image data. The thermal imaging module 112 is a calorimeter, which is a device that senses infrared imaging and can monitor the temperature of objects in the monitoring field, especially for sensing the body temperature of a person. Therefore, the thermal imaging module 112 is suitable for generating a Thermal imaging data.

The management terminal device 130 is a device used by management personnel, such as a personal computer. The management terminal device 130 also includes a display interface 131. The display interface 131 is suitable for receiving and displaying image data And thermal imaging data. That is to say, the management personnel can browse the image data and thermal imaging data generated by the monitoring device 110 from the management terminal device 130.

The server host 120 is the main computing device of the creative intelligent anti-rush notification system 100, which can be a single server for computing or a joint computing for multiple servers. In this embodiment, the server host 120 includes a biometric identification module 121 and an arithmetic module 122.

The biometric module 121 is adapted to receive image data and thermal imaging data, and provide an identification code and a hot spot location data according to a plurality of hot spots in the thermal imaging data. In other words, after the biometric module 121 receives the image data and the thermal imaging data, it will detect the hot spot in the thermal imaging data, that is, the image of the human body temperature, and detect the location of the hot spot in the monitored field (for example, Coordinate position). The identification code is to identify the identity of the hot spot. In a preferred embodiment, the identification is performed based on a facial feature image of the hot spot and the identification code is given. In one embodiment, the biometric identification module 121 can also identify the identity of the same hot spot from multiple image data and thermal imaging data.

The calculation module 122 performs calculations based on the image data, thermal imaging data, identification code, and hot spot location data. In this embodiment, the computing module 122 is an artificial intelligence module that has undergone semi-supervised training, and the training data is, for example, human body temperature data and historical data of movement trajectories and hot spots. Therefore, the arithmetic module 122 divides a plurality of personnel blocks from the content of the image data, and these blocks correspond to the hot spots. For example, when the monitoring field is a bank counter, the computing module 122 separates the work area and the customer area with the counter as a boundary area, and the hot spots corresponding to the work area and the customer area are the clerk and the customer.

In one embodiment, the computing module 122 is also adapted to determine the relationship between the hot spot location data of the hot spot and the personnel block. If the hot spot location data does not match the personnel block, a warning message is generated and sent to the alarm system. 10. The arithmetic module 122 is also suitable for calculating a movement trajectory of each hot spot, and when the movement trajectory enters an inconsistent personnel block, a warning message is generated and sent to the alarm system 10. That is, the hotspot enters the inconsistent personnel area. For example, the hotspot belonging to the customer area enters the work area. The warning may be abnormal. For example, if people cross the counter and want to grab cash, the computing module 122 will generate a warning message and send it to the alarm system 10 to notify the police unit or the security unit.

In one embodiment, the computing module 122 is further adapted to calculate a moving speed for a hot spot, and the moving speed moves at a speed higher than a speed threshold to generate a warning message and send it to the alarm system. That is, if the hot spot is moving at a high speed, it means that someone is running in the monitored field, or it may be an abnormal state, that is, notify the relevant unit.

In another embodiment, the computing module 122 is further adapted to determine the temperature of each hot spot. If the temperature is abnormal, the computing module 122 will generate a warning message and send it to the alarm system 10 to notify the police unit or the security unit. That is, the computing module 122 monitors the body temperature of people in the field. When medical researchers encounter an urgent threat that may cause serious personal injury or death, it will trigger a series of physiological reactions, such as increased blood pressure, increased heartbeat, and increased body temperature. Therefore, people with higher body temperatures may be coerced, or the perpetrators themselves are nervous and their body temperature rises. Therefore, when the temperature of the hot spot in the monitoring field is too high, the computing module 122 will generate a warning message and send it to the alarm system 10.

In one embodiment, the computing module 122 is further adapted to calculate an average body temperature in a field based on the temperature of each hot spot. When the average body temperature is higher than a temperature threshold, a warning message is generated and sent to the alarm system 10. That is to say, the body temperature of the personnel in the field has risen, which means that the personnel may be subjected to collective coercion, such as being hijacked by robbers, and therefore the collective body temperature has risen. Therefore, the relevant unit is notified.

Please refer to FIG. 2A and FIG. 2B. FIG. 2A and FIG. 2B are schematic diagrams of the image data. In the embodiment of FIG. 2A, the monitoring device 110 monitors the counter area of a bank, and generates an image data 200. The image data 200 includes a plurality of hotspots 201 and a counter 11. Each hot spot 201 will be marked with an identification code 202, and the moving hot spot 201 will also have a moving track 203. Furthermore, the image data 200 is further divided into personnel blocks 210a and 210b.

Please refer to FIG. 2B. In the embodiment of FIG. 2B, the hot spot 201b in the image data 200 moves from the personnel area 210b to the personnel area 210a, and enters the inconsistent personnel area 210a. at this time The computing module 122 will determine that the hot spot 201b is across the counter 11, which is an abnormal behavior, and will generate a warning message and send it to the alarm system 10.

In another embodiment, the computing module 122 is also adapted to detect the temperature of the hot spots 201a~201e. Due to the behavior of the hot spot 201b, the hot spots 201a, 201c, 201d, and 201e are scared, so that the hot spots 201a, 201c, 201d, and 201e As the body temperature rises, the computing module 122 will detect that the hot spots 201a, 201c, 201d, and 201e have increased in temperature. When the average temperature rises above the temperature threshold, a warning message will be generated and sent to the alarm system 10.

The intelligent anti-rush notification system 100 of this creation can use artificial intelligence and image recognition technology, as well as to detect the temperature and movement of personnel, so that the system can determine the status of the surveillance field. Determine the emotional response of personnel by temperature changes, distinguish the location of personnel by region, and use the above-mentioned requirements to determine whether crimes have occurred in the monitoring field. It is no longer necessary to operate the notification system through the banker. If an abnormal situation is detected, the relevant unit can be directly notified .

The description of the present invention is as above, but it is not intended to limit the scope of the patent rights claimed in this creation. The scope of its patent protection shall be determined by the attached scope of patent application and its equivalent fields. Any person with ordinary knowledge in the field, without departing from the spirit or scope of this patent, makes changes or modifications that are equivalent changes or designs completed under the spirit of this creation, and should be included in the scope of the following patent application Inside.

10: Alarm system

100: Intelligent anti-rush notification system

110: Monitoring device

111: Camera lens

112: Thermal imaging module

120: Servo host

121: Biometric Module

122: Computing Module

130: Management device

131: display interface

Claims (6)

An intelligent anti-rush notification system, which is communicatively connected to an external alarm system. The intelligent anti-rush notification system includes: a plurality of monitoring devices, including: a camera lens suitable for generating an image data; and a thermal imaging module , Suitable for generating a thermal imaging data; a servo host, which is communicatively connected to the monitoring device, the servo host includes: a biometric module, receiving the image data and the thermal imaging data, according to a plurality of the thermal imaging data The hotspot is given an identification code and a hotspot location data; and an arithmetic module, based on the image data, divides a plurality of personnel blocks on the image data, and these personnel blocks correspond to the specific hotspot, and determine The relationship between the hotspot location data of the hotspot and the personnel block. If the hotspot location data does not match the personnel block, a warning message is generated and sent to the alarm system; and at least one management terminal device is connected to The server host and the management end device include a display interface suitable for displaying the image data, the thermal imaging data and the hot spot; wherein the calculation module is also suitable for determining a temperature of each of the hot spots, if the temperature is abnormal , Generate the warning message and send it to the alarm system. The intelligent anti-robbing notification system according to claim 1, wherein the calculation module is further adapted to calculate a movement trajectory of each hot spot, and when the movement trajectory enters the non-matching personnel block, the warning message is generated Send to the alarm system. The intelligent anti-rush notification system according to claim 1, wherein the calculation module is further adapted to calculate a moving speed for the hot spot, and the moving speed moves at a speed higher than a speed threshold to generate the warning The message is sent to the alarm system. The intelligent anti-rush notification system according to claim 1, wherein the calculation module is further adapted to calculate the average body temperature of a field based on the temperature of each hot spot, and when the average body temperature is higher than a temperature critical value, generate The warning message is sent to the alarm system. The intelligent anti-robbing notification system according to claim 1, wherein the biometric identification module gives the identification code based on a facial feature image of the hot spot. The intelligent anti-rush notification system described in claim 1 to 5, wherein the computing module is an artificial intelligence module that has undergone semi-supervised training.

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