Enterprise anti-theft management system based on image recognition

Abstract

The invention discloses an enterprise anti-theft management system based on image recognition. The enterprise anti-theft management system comprises a real-time camera shooting unit, a data acquisition unit, a data transmission unit, a data storage unit, a data processing unit, a remote monitoring unit, an emergency action unit and a USP power supply unit. And the real-time camera shooting unit is used for carrying out real-time camera shooting and identification on personnel entering an enterprise. By integrating face, hand, eye, position and finger curvature multi-dimensional information acquisition and analyzing through a formula algorithm, the system can accurately monitor abnormal behaviors in real time, timely trigger alarm and automatically block enterprise entrances and exits, and effectively prevent theft behaviors. Meanwhile, the system can generate a detailed anti-theft report, so that the background staff can respond and process quickly and conveniently. In addition, the arrangement of the USP power supply unit ensures the continuous operation of the system under the condition of power failure, and the safety protection capability of enterprise assets is further enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of anti-theft, and more specifically discloses an enterprise anti-theft management system based on image recognition. Background Art

[0002] In today's society, the security of corporate assets has become an increasingly important part of corporate operations. Although traditional anti-theft methods, such as physical locks and video surveillance, have played a protective role to a certain extent, their efficiency and accuracy still need to be improved due to the limitations of technical level and manual monitoring.

[0003] In order to prevent valuables from being stolen in enterprises, existing enterprise anti-theft methods are mainly based on video surveillance. By collecting images within the enterprise, the images are then checked by back-end staff. The anti-theft method is not smart enough and requires manual video viewing to detect theft. The anti-theft effect is poor and the labor cost is relatively high. Summary of the invention

[0004] Purpose of the invention: The purpose of the present invention is to solve the problems of existing enterprise anti-theft methods, which are mainly based on video surveillance for anti-theft. By collecting images within the enterprise and then checking them by back-end staff, the anti-theft method is not smart enough and requires manual video viewing to detect theft. The anti-theft effect is poor and the labor cost is relatively high.

[0005] To solve the above technical problems, according to one aspect of the present invention, more specifically, an enterprise anti-theft management system based on image recognition includes: a real-time camera unit, a data acquisition unit, a data transmission unit, a data storage unit, a data processing unit, a remote monitoring unit, an emergency action unit and a USP power supply unit; Real-time camera unit: used to take real-time photos and identify people entering the enterprise; Data acquisition unit: used for real-time acquisition of data generated during the camera recognition process of the real-time camera unit; Data transmission unit: used for real-time transmission of information data collected by the data collection unit; Data storage unit: used to store the information data transmitted in real time by the data transmission unit; Data processing unit: used to process and analyze the information data stored in the data storage unit, and obtain the processing and analysis results, and generate an enterprise anti-theft report according to the processing and analysis results, and forward the obtained processing and analysis results to the remote monitoring unit; Remote monitoring unit: used to display the information data stored in the data storage unit and the analysis results of the data processing unit in real time on the background terminal. At the same time, when the analysis results obtained by the data processing unit are abnormal, an alarm is issued to the background terminal; Emergency Action Unit: It is used to automatically block the entrances and exits of the enterprise when an alarm is sounded at the back-end terminal.

[0006] Furthermore, the data acquisition unit includes: a face acquisition module, a hand acquisition module, an eye acquisition module, a position acquisition module and a bending acquisition module; Facial collection module: used to collect real-time information about the face of the monitored person and the area of ​​the face cover; Hand collection module: used to collect the area information data of the monitored person's palm and the palm cover in real time; Eye collection module: used to collect the angle information data of the monitored person's eyeball rotation in real time; Location collection module: used to collect the real-time location coordinate information data of the company's valuables; Bending acquisition module: used to collect the finger bending information data of the monitored person in real time.

[0007] Furthermore, the data processing unit includes: a data acquisition module, an analysis and judgment module, a report generation module and a result forwarding module; Data acquisition module: used for real-time acquisition of information data stored in the data storage unit; Analysis and judgment module: used to analyze and judge the information data obtained by the data acquisition module, so as to obtain the results of the analysis and judgment; Report generation module: used to generate enterprise anti-theft reports based on the analysis and judgment results of the analysis and judgment module; Result forwarding module: used to forward the results analyzed and judged by the analysis and judgment module to the remote monitoring unit.

[0008] Furthermore, the remote monitoring unit includes: a data receiving module, a data display module and an abnormal alarm module; Data receiving module: used for receiving the information data stored in the data storage unit and the analysis result information of the data processing unit in real time; Data display module: used to display the information data received by the data receiving module on the background terminal display screen; Abnormal alarm module: used to send an alarm prompt to the background terminal when the result obtained by the analysis and judgment module is abnormal.

[0009] Furthermore, the USP power supply unit is used to provide an uninterruptible power supply for the entire enterprise anti-theft management system, ensuring that the system can still operate normally when the city power is cut off.

[0010] Furthermore, the analysis and judgment module can obtain the information data of the face, palm and the face and palm obstructions of the monitored person from the data acquisition module, and obtain the body appearance abnormality index through analysis of the above acquired data: in, is the physical abnormality index, is the face area, is the face occlusion area, is the palm area, is the palm occlusion area, To monitor the duration, For the The angle of eye rotation of the monitored person in seconds.

[0011] Furthermore, the analysis and judgment module can obtain the real-time location coordinate information data of the enterprise's valuables from the data acquisition module, and obtain the item movement index through the analysis of the above acquired data: in, is the item movement index, To monitor the duration, is the horizontal coordinate of the initial position of the enterprise’s valuables, is the ordinate of the initial position of the enterprise’s valuables, For the The horizontal coordinate of the actual location of the valuables of the enterprise in seconds, For the The vertical coordinate of the actual location of the valuables of the enterprise.

[0012] Furthermore, the analysis and judgment module can obtain the finger curvature information data of the monitored person from the data acquisition module, and obtain the theft index through the analysis of the above acquired data, if: This means that the possibility of the enterprise's valuables being stolen is too high, which will trigger the abnormal alarm module, send an alarm to the back-end terminal, and automatically block the enterprise's entrances and exits through the emergency action unit. is the theft index, is the physical abnormality index, To monitor the duration, For the The total amount of bending of each finger of the monitored personnel touching the valuables of the enterprise in seconds, for The maximum value of finger bending within time, for The minimum value of finger bending within time, is the item movement index, For the The straight-line distance between the valuables and the company's exit, is the preset threshold parameter, is an exponential function with the real number e as base.

[0013] The beneficial effects of the enterprise anti-theft management system based on image recognition of the present invention are: by integrating multi-dimensional information collection of face, hand, eye, position and finger curvature and analyzing it through formula algorithms, the system can monitor abnormal behavior in real time and accurately, trigger alarms in time and automatically block the entrances and exits of the enterprise, effectively preventing theft. At the same time, the system can also generate detailed anti-theft reports, which is convenient for backstage staff to respond and process quickly. In addition, the configuration of the USP power supply unit ensures the continuous operation of the system in the event of a power outage, further enhancing the security protection capabilities of enterprise assets. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The present invention is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0015] Figure 1 This is a schematic diagram of the system principle. DETAILED DESCRIPTION

[0016] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0017] According to one aspect of the present invention, Figure 1 As shown, an enterprise anti-theft management system based on image recognition is provided. First, the real-time camera unit is used to capture and identify the personnel entering the enterprise in real time. Then, the face acquisition module, hand acquisition module, eye acquisition module, position acquisition module and bending acquisition module are used to respectively collect the face of the monitored person and the area of ​​the face cover, the palm and the area of ​​the palm cover, the rotation angle of the monitored person's eyeballs, the real-time position coordinates of the enterprise's valuables and the monitored person's finger bending information data in real time.

[0018] Then, the collected data is transmitted to the data storage unit in real time through the data transmission unit, and then the information data is obtained from the data storage unit through the data acquisition module in the data analysis unit. Further, the obtained information data is processed and analyzed through the analysis and judgment module.

[0019] Afterwards, when the analysis and judgment results of the analysis and judgment module show abnormal conditions, the abnormal alarm module will be triggered to alarm the background terminal, and at the same time, an enterprise anti-theft report will be generated and displayed in the data display module.

[0020] The data receiving module in the remote monitoring unit can receive the information data stored in the data storage unit and the analysis results of the data processing unit in real time, and display the received information data on the background terminal display screen through the data display module.

[0021] The analysis and judgment module can obtain the information data of the monitored person's face, palms, and face and palm obstructions from the data acquisition module, and analyze the above acquired data to obtain the body appearance abnormality index: Abnormal appearance index The larger the value, the more abnormal the appearance of the monitored person is, and the closer the real-time camera unit needs to be. is the physical abnormality index, is the face area, is the face occlusion area, is the palm area, is the palm occlusion area, To monitor the duration, For the The angle of eye rotation of the monitored person in seconds.

[0022] The analysis and judgment module can obtain the real-time location coordinate information data of the company's valuables from the data acquisition module, and obtain the item movement index through the above acquired data analysis: Item Movement Index The larger the value, the farther the valuables of the enterprise are transported. is the item movement index, To monitor the duration, is the horizontal coordinate of the initial position of the enterprise’s valuables, is the ordinate of the initial position of the enterprise’s valuables, For the The horizontal coordinate of the actual location of the valuables of the enterprise in seconds, For the The vertical coordinate of the actual location of the valuables of the enterprise.

[0023] The analysis and judgment module can obtain the finger curvature information data of the monitored person from the data acquisition module, and obtain the theft index through the analysis of the above acquired data, if: This means that the possibility of the company's valuables being stolen is too high, which will trigger the abnormal alarm module, send an alarm to the background terminal, and automatically block the company's entrances and exits through the emergency action unit. The background staff will review the video captured by the real-time camera unit. When it is confirmed that the valuables have been stolen, they will promptly dispatch personnel to arrest the thief and report to the police. When it is confirmed that the valuables have not been stolen, the alarm will be lifted and the company's entrances and exits will be opened. , it means that the valuables of the enterprise are not likely to be stolen and the abnormal alarm module will not be triggered. is the theft index, is the physical abnormality index, To monitor the duration, For the The total amount of bending of each finger of the monitored personnel touching the valuables of the enterprise in seconds, for The maximum value of finger bending within time, for The minimum value of finger bending within time, is the item movement index, For the The straight-line distance between the valuables and the company's exit, is the preset threshold parameter, is an exponential function with the real number e as base.

[0024] Finally, when the mains power fails, the USP power supply unit provides uninterrupted power supply to the entire enterprise anti-theft management system, ensuring that the system can still work normally during the power outage.

[0025] The above-mentioned embodiment only expresses one implementation mode of the present invention, and its description is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be based on the attached claims.

Claims

1. An enterprise anti-theft management system based on image recognition, characterized in that: include: Real-time camera unit, data acquisition unit, data transmission unit, data storage unit, data processing unit, remote monitoring unit, emergency action unit and USP power supply unit; Real-time camera unit: used to take real-time photos and identify people entering the enterprise; Data acquisition unit: used for real-time acquisition of data generated during the camera recognition process of the real-time camera unit; Data transmission unit: used for real-time transmission of information data collected by the data collection unit; Data storage unit: used to store the information data transmitted in real time by the data transmission unit; Data processing unit: used to process and analyze the information data stored in the data storage unit, and obtain the processing and analysis results, and generate an enterprise anti-theft report according to the processing and analysis results, and forward the obtained processing and analysis results to the remote monitoring unit; Remote monitoring unit: used to display the information data stored in the data storage unit and the analysis results of the data processing unit in real time on the background terminal. At the same time, when the analysis results obtained by the data processing unit are abnormal, an alarm is issued to the background terminal; Emergency Action Unit: It is used to automatically block the entrances and exits of the enterprise when an alarm is sounded at the back-end terminal.

2. According to the enterprise anti-theft management system based on image recognition according to claim 1, it is characterized by: The data acquisition unit includes: a face acquisition module, a hand acquisition module, an eye acquisition module, a position acquisition module and a bending acquisition module; Facial collection module: used to collect real-time information about the face of the monitored person and the area of ​​the face cover; Hand collection module: used to collect the area information data of the monitored person's palm and the palm cover in real time; Eye collection module: used to collect the angle information data of the monitored person's eyeball rotation in real time; Location collection module: used to collect the real-time location coordinate information data of the company's valuables; Bending acquisition module: used to collect the finger bending information data of the monitored person in real time.

3. The enterprise anti-theft management system based on image recognition according to claim 2 is characterized by: The data processing unit includes: a data acquisition module, an analysis and judgment module, a report generation module and a result forwarding module; Data acquisition module: used for real-time acquisition of information data stored in the data storage unit; Analysis and judgment module: used to analyze and judge the information data obtained by the data acquisition module, so as to obtain the results of the analysis and judgment; Report generation module: used to generate enterprise anti-theft reports based on the analysis and judgment results of the analysis and judgment module; Result forwarding module: used to forward the results analyzed and judged by the analysis and judgment module to the remote monitoring unit.

4. The enterprise anti-theft management system based on image recognition according to claim 3 is characterized by: The remote monitoring unit includes: a data receiving module, a data display module and an abnormal alarm module; Data receiving module: used for receiving the information data stored in the data storage unit and the analysis result information of the data processing unit in real time; Data display module: used to display the information data received by the data receiving module on the background terminal display screen; Abnormal alarm module: used to send an alarm prompt to the background terminal when the result obtained by the analysis and judgment module is abnormal.

5. The enterprise anti-theft management system based on image recognition according to claim 4 is characterized by: The USP power supply unit is used to provide uninterrupted power supply for the entire enterprise anti-theft management system, ensuring that the system can still work normally when the city power is cut off.

6. The enterprise anti-theft management system based on image recognition according to claim 5 is characterized by: The analysis and judgment module can obtain the face, palm and face and palm obstruction information data of the monitored person from the data acquisition module, and obtain the body appearance abnormality index through analysis of the above acquired data: in, is the physical abnormality index, is the face area, is the face occlusion area, is the palm area, is the palm occlusion area, To monitor the duration, For the The angle of eye rotation of the monitored person in seconds.

7. The enterprise anti-theft management system based on image recognition according to claim 6 is characterized by: The analysis and judgment module can obtain the real-time location coordinate information data of the enterprise's valuables from the data acquisition module, and obtain the item movement index through the above acquired data analysis: in, is the item movement index, To monitor the duration, is the horizontal coordinate of the initial position of the enterprise’s valuables, is the ordinate of the initial position of the enterprise’s valuables, For the The horizontal coordinate of the actual location of the valuables of the enterprise in seconds, For the The vertical coordinate of the actual location of the valuables of the enterprise.

8. The enterprise anti-theft management system based on image recognition according to claim 7 is characterized by: The analysis and judgment module can obtain the finger curvature information data of the monitored person from the data acquisition module, and obtain the theft index through the analysis of the above acquired data, if: This means that the possibility of the enterprise's valuables being stolen is too high, which will trigger the abnormal alarm module, send an alarm to the back-end terminal, and automatically block the enterprise's entrances and exits through the emergency action unit. is the theft index, is the physical abnormality index, To monitor the duration, For the The total amount of bending of each finger of the monitored personnel touching the valuables of the enterprise in seconds, for The maximum value of finger bending within time, for The minimum value of finger bending within time, is the item movement index, For the The straight-line distance between the valuables and the company's exit, is the preset threshold parameter, is an exponential function with the real number e as base.

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