Video analysis sensing system for power supply business hall monitoring system

Abstract

The invention discloses a video analysis sensing system for a power supply business hall monitoring system. The system comprises a business hall front end and a monitoring rear end, and the business hall front end comprises an AI intelligent monitoring camera which is uniformly accessed to a monitoring platform of a power supply company; the monitoring rear end comprises a streaming media forwarding management terminal, an AI intelligent behavior analysis terminal, a video face comparison terminal, an intelligent passenger flow analysis terminal and a high-definition video storage NVR; the streaming media forwarding management terminal forwards the streaming media data to a business hall platform for centralized monitoring; the AI intelligent behavior analysis terminal is used for realizing post behavior analysis, street behavior analysis, safety helmet detection, street detection and people counting; and the video face comparison terminal is used for realizing face recognition and storage. According to the scheme, the service quality of the business hall is improved.

Description

Technical Field

[0001] The present invention belongs to the field of video perception, and particularly relates to a video analysis and perception system for a power supply business hall monitoring system. Background Art

[0002] With the acceleration of digital transformation, power supply business halls need to improve service quality and operation efficiency through technological innovation. Although basic video monitoring systems have been introduced to enhance security and service supervision, existing systems still mainly focus on simple video recording functions, lacking in-depth data analysis and real-time response capabilities, and are unable to effectively monitor and control specific business matters, service processes, and service results. This leads to low efficiency in handling emergencies and optimizing customer service processes, and fails to meet the requirements of efficient operation. Especially in business environments with high customer traffic, traditional video monitoring systems often have difficulty accurately identifying and analyzing complex customer behaviors and service interaction scenarios. When dealing with customer disputes or sensitive events, there is often a lack of sufficient information technology support, making it difficult to provide accurate on-site data, resulting in difficulties in evidence collection, affecting the rapid and fair handling of events, reducing the operation efficiency of the business hall, and also affecting customer satisfaction and corporate image. Summary of the Invention

[0003] To address the deficiencies in the prior art, the present invention provides a video analysis and perception system for a power supply business hall monitoring system to improve the intelligence level of the video monitoring system, achieve automatic detection and analysis of various typical and atypical events in the business hall, and enhance the accuracy and response speed of on-site management.

[0004] To solve the above technical problems, the present invention adopts the following technical solutions.

[0005] The present invention first discloses a video analysis and perception system for a power supply business hall monitoring system, comprising: Comprising a business hall front end and a monitoring back end, characterized in that: The business hall front end includes a variety of AI intelligent monitoring cameras. The variety of AI intelligent monitoring cameras are installed in each business hall area of the power supply company. Different types of cameras are set according to the on-site environment and applications, and are uniformly connected to the monitoring platform of the power supply company. The video signal is connected to a high-definition video storage NVR through a video cable to achieve video decoding and video recording storage; The monitoring back end includes a streaming media forwarding management terminal, an AI intelligent behavior analysis terminal, a video face comparison terminal, an intelligent passenger flow analysis terminal, and a high-definition video storage NVR; The streaming media forwarding management terminal is used to implement real-time face capture and comparison analysis, black and white list linkage control, personnel access frequency recording, high-definition video linkage playback, personnel feature recognition, personnel correlation relationship recognition, intelligent personnel classification, real-time number statistics, face retrieval by image search, and expansion of the intelligent security protection system. At the same time, it also serves as a streaming media data forwarding terminal to forward streaming media data to the business hall platform for centralized monitoring; The AI intelligent behavior analysis terminal adopts an embedded design, integrates a high-performance GPU module, and embeds deep learning algorithms, and is used to implement job behavior analysis, street behavior analysis, safety helmet detection, street detection, and number statistics; The video face comparison terminal adopts an embedded design, integrates a high-performance GPU module, and embeds deep learning algorithms, and is used to implement face recognition and storage; The high-definition video storage NVR adopts standard compression technology, supports dual-stream, and is used to implement multi-screen processing and display, video motion detection, digital video recording, playback, video data management, data backup, pan-tilt or lens control, high-speed dome camera control, and video loss alarm.

[0006] Infrared cameras and high-speed dome cameras are set at the entrances and exits of the business hall, and ultra-high-definition and ultra-low-illumination cameras are set in the business area.

[0007] The present invention further includes the following preferred solutions: The AI intelligent behavior analysis terminal further includes: An intelligent environment monitoring module, which is used to implement analysis of left items and detection of personnel gathering, and to monitor and analyze the image data in the business hall environment in real time. When it detects that a customer leaves an item at the counter, or there are large quantities of goods and abnormal objects, it automatically performs image comparison and analysis, identifies abnormal situations, and immediately generates an alarm, and transmits the alarm information to the digital application platform for monitoring the quality and efficiency of business hall operation management in real time; when it detects an abnormal personnel gathering situation in the business hall, it automatically identifies and immediately triggers an early warning.

[0008] The AI intelligent behavior analysis terminal further includes: A comprehensive guarantee monitoring module, which is used to monitor and analyze the running state of the monitoring system in real time, automatically detect and immediately report any faults or abnormalities in the monitoring system, and through the query and analysis of historical information, conduct long-term tracking and optimization of the running situation of the monitoring system.

[0009] The faults or abnormalities include abnormal contrast, abnormal brightness, blur, color cast, frozen screen, video jitter, out-of-control pan-tilt, and video signal loss of video images.

[0010] The AI intelligent behavior analysis terminal further includes: A customer behavior analysis module is used to count the frequency of customers' business handling. By video recognition, it identifies the customers in the business hall and obtains the statistical data of the frequency of business handling by customers within a preset time. Through further analysis, it obtains the data of users' behavior motives and personal preferences and displays them through graphical technology. It also monitors the movement trajectories of personnel.

[0011] The AI intelligent behavior analysis terminal further includes: A business material digital management module is used to realize the intelligent processing of the paper materials submitted by customers at the business acceptance window. When a customer submits paper materials at the acceptance window, through high-definition capture or scanning technology, it obtains pictures of paper orders. After completing the capture or scanning of the materials, it automatically uploads the order pictures to the digital application platform for monitoring the quality and efficiency of business hall operation management. It automatically extracts key information from the order pictures and classifies and saves the orders according to preset classification rules. It retrieves the corresponding order pictures through the order number to realize the positioning and query of the orders. At the same time, it automatically associates the business personnel handling the orders.

[0012] The intelligent passenger flow analysis terminal realizes the counting of the number of people in each area by adding passenger flow cameras in each area of the business hall and provides data access. It mines and analyzes the historical passenger flow data for optimizing the layout of the business hall area, counter allocation and business configuration. It counts the peak acceptance and passenger flow pressure data in each area. At the entrance and exit of the power supply business hall, a binocular passenger flow statistical camera is deployed to count the incoming and outgoing passenger flow personnel by integrating image processing, video analysis, pattern recognition and artificial intelligence technologies.

[0013] Correspondingly, the present application also discloses a terminal, including a processor and a storage medium; The storage medium is used to store instructions; The processor is used to operate according to the instructions to execute the video analysis and perception system for the power supply business hall monitoring system described above.

[0014] Correspondingly, the present application also discloses a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, it realizes the video analysis and perception system for the power supply business hall monitoring system described above.

[0015] The beneficial effect of the present invention is that, compared with the prior art, the present invention provides a video analysis and perception system for a power supply business hall monitoring system. Through video perception and analysis, it can comprehensively master the operation status, significantly improve the operation management level and work efficiency. The system realizes the whole-process monitoring from the time when a user enters the business hall to the end of business handling, improves the intelligent and automated level, improves the safety management efficiency, reduces the potential safety risks, enhances the customer experience, and ensures the continuous improvement of the service quality of the business hall. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is the architecture diagram of the video analysis and perception system for the power supply business hall monitoring system in the present invention.

[0017] Figure 2 It is the architecture diagram of the monitoring backend in the present invention. Detailed implementation manners

[0018] To make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0019] The embodiments described in this application are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the spirit of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0020] Aiming at the deficiencies of the prior art, the present invention proposes a video analysis and perception system for the power supply business hall monitoring system, which uses image processing and machine learning algorithms to monitor the operation status of the business hall in real time, intelligently identify customer behaviors, analyze customer traffic and behavior patterns, and effectively improve the prevention and rapid response capabilities of security incidents. First, by introducing intelligent video analysis functions, the service process in the business hall is monitored in real time, thereby improving service quality and compliance. Second, customer behaviors and service interactions are automatically identified and analyzed, providing detailed event records and data support, enabling management personnel to quickly obtain accurate on-site information, providing a basis for subsequent processing, and effectively reducing the difficulty of evidence collection. Image processing and machine learning algorithms are used to intelligently analyze customer traffic and behavior patterns, enhancing the early warning capabilities for potential security incidents, so as to achieve rapid response and ensure the safe operation of the business hall.

[0021] See Figure 1 As shown, the video analysis and perception system for the power supply business hall monitoring system disclosed by the present invention includes a business hall front end and a monitoring backend.

[0022] The front end of the business hall consists of a variety of AI intelligent monitoring cameras and various alarm devices. Different cameras are selected according to different on-site environments and applications. Infrared cameras and high-speed dome cameras are set at the entrances and exits, and ultra-high-definition and ultra-low-illumination cameras are set in the business area. The front-end video collection is realized through the AI intelligent monitoring cameras set in the business hall. The intelligent AI cameras are installed in the areas of each business hall of the power supply company and are uniformly connected to the monitoring platform of the power supply company. The video monitoring system is monitored 24 hours a day and the video is stored in the central monitoring room. The monitoring room can process the alarm information; and then through the network, the video monitoring information, alarm information, etc. are transmitted to the supervisors via text messages and multimedia messages, so that the supervisors can understand the actual situation in real time and replay the video before the alarm. The video signal can be connected to the high-definition video storage NVR through the video cable as needed to realize video decoding and video storage. According to the needs and the actual network situation, the video images are transmitted to the intelligent monitoring and analysis platform of the operator.

[0023] See Figure 2 , and the back end of the monitoring is provided with a streaming media forwarding management terminal, an AI intelligent behavior analysis terminal, a video face comparison terminal, an intelligent passenger flow analysis terminal, a high-definition video storage NVR, etc.

[0024] The streaming media forwarding management terminal supports a variety of intelligent application functions such as real-time face capture and comparison analysis, black and white list linkage control, personnel access frequency record, high-definition video linkage playback, personnel feature recognition, personnel association relationship recognition, intelligent personnel classification, real-time number statistics, face search by picture, intelligent security protection system expansion function, etc. At the same time, it also serves as a streaming media data forwarding terminal to forward the streaming media data to the upper-level business hall platform for centralized monitoring.

[0025] The AI intelligent behavior analysis terminal adopts an embedded design, integrates a high-performance GPU module, embeds deep learning algorithms, and integrates IPC access, storage, management, control, and intelligent analysis functions to realize job behavior analysis, street behavior analysis, safety helmet detection, street detection, number statistics, etc. The product can either work independently locally as a security device or be networked to form a powerful security prevention system.

[0026] The video face comparison terminal adopts an embedded design, integrates a high-performance GPU module, embeds deep learning algorithms, and integrates IPC access, storage, management, control, and intelligent recognition functions to realize accurate face recognition and storage, including support for face picture capture, modeling, recognition, etc., and forms a powerful security prevention system.

[0027] The video recording quality of the high-definition video storage NVR can reach 1080P; it adopts standard compression technology, supports dual-stream, and is more suitable for network transmission; it integrates multiple functions such as multi-screen processing and display, video motion detection, digital video recording, playback, video data management, data backup, pan-tilt or lens control, high-speed dome camera control, and video loss alarm.

[0028] The AI intelligent behavior analysis terminal includes: An intelligent environment monitoring module for realizing the analysis of left objects and the detection of people gathering. In the environment of an unmanned business hall, through the intelligent video analysis technology of high-definition cameras, the image data in the business hall is monitored and analyzed in real time. When the system detects that a customer has left an item at the counter, or there are large quantities of goods and abnormal objects in important areas, it can automatically perform image comparison and analysis, identify abnormal situations, and immediately generate an alarm. The alarm information will be transmitted to the digital application platform for monitoring the quality and efficiency of the operation and management of the business hall in real time, providing timely abnormal monitoring alarms for the operation team so that corresponding handling measures can be taken to ensure the safety and normal operation of the business hall. At the same time, this function also helps to reduce the safety risks caused by left items, improve the service quality and customer satisfaction of the business hall; the personnel dynamics in the unmanned business hall are monitored in real time through the intelligent video monitoring system. When the system detects abnormal people gathering in the business hall, which may indicate the occurrence of safety risks or emergencies, the system will automatically identify and immediately trigger an alarm, and report it to the administrator in real time. By establishing an accurate early warning mechanism, not only can the operation team be notified in time to take corresponding emergency measures to reduce potential losses and risks.

[0029] A comprehensive guarantee monitoring module for ensuring the continuous and stable operation of the security monitoring system of the unmanned business hall by monitoring and analyzing the operation status of the monitoring system in real time. When any faults or abnormalities occur in the monitoring system, such as abnormal contrast, brightness, blurring, color cast, picture freezing, video jitter, pan-tilt out of control, video signal loss, etc., the system will automatically detect and report it to the administrator immediately. The administrator can monitor the operation status of the system in real time through the Web interface, receive and process alarms, and can also query historical alarm information to timely understand and handle problems that may affect the safety and operation of the business hall. By accurately analyzing and judging problems such as camera faults, video signal interference, and video quality degradation, accurate and timely alarm information is provided for the administrator to ensure that problems can be quickly responded to and solved, thus ensuring the effective operation of the security monitoring system of the business hall. At the same time, through the query and analysis of historical information, it is provided for the administrator to conduct long-term tracking and optimization of the operation status of the monitoring system, improving the stability and reliability of the system.

[0030] The customer behavior analysis module is used to count the frequency of customers' business transactions. Through video recognition, it can accurately identify customers in the business hall. Combined with other technologies and historical data, it can obtain statistical data on the frequency of customers' business transactions within a preset time. The data obtained from customer behavior analysis is analyzed through the video perception system to further obtain user behavior motivations and personal preference data, and displayed through graphical technology. The movement trajectory of personnel is monitored, and the direction of the personnel trajectory and the time relationship between walking across cameras are used to narrow the comparison range, and the generated salesperson and customer routes are more accurate.

[0031] The business material digital management module is used to realize the intelligent processing of paper materials submitted by customers at the business acceptance window. When customers submit paper materials at the acceptance window, the system uses high-definition capture or scanning technology to ensure that the obtained paper order pictures are clear and readable. After completing the material capture or scanning, the system automatically uploads the order pictures to the digital application platform for monitoring the quality and efficiency of the business hall operation management; automatically extracts key information from the order pictures, and classifies and saves the orders according to the preset classification rules. In this way, not only the digital management of paper orders is realized, but also the efficiency and accuracy of order processing are improved. In addition, the system provides a powerful search function, and management personnel and business processing personnel can quickly retrieve the corresponding order pictures by order number to realize the rapid location and query of orders. At the same time, the order processing business personnel are automatically associated to facilitate the subsequent order processing and tracking. Through the intelligent processing process, the accurate capture, rapid processing and effective management of paper materials are ensured, providing customers and business personnel with a more convenient and efficient service experience.

[0032] The intelligent passenger flow analysis terminal can realize the statistics of the number of people in each area and provide data access by adding passenger flow cameras in each area of ​​the business hall. A threshold can be set for the number of people in each area, and an alarm will be issued when the threshold is exceeded. The historical passenger flow data is mined and analyzed to optimize the regional layout, counter allocation and business configuration of the business hall; and the data such as the acceptance peak and passenger flow pressure of each area are counted in dimensions such as day, month, quarter and year; binocular passenger flow counting cameras are deployed at the entrance and exit of the power supply business hall, and image processing, video analysis, pattern recognition and artificial intelligence technologies are integrated to accurately count the in and out passengers. The passenger flow counting function can be added to business halls that meet the conditions, and valuable chart information can be provided to business hall managers to facilitate better scheduling of business hall resources.

[0033] In a further preferred embodiment, the video perception analysis system supports users to customize perception analysis models based on specific actual scenarios according to the video data of the business hall that has been collected, including: model creation, data management, model training and verification, model publishing and deployment, and model application online.

[0034] The video data of the conventional video monitoring in the business hall is connected to the unified power grid video monitoring platform in the disaster recovery center through the high-definition digital hard disk video recorder in the local computer room. The video data collected by the AI intelligent analysis at the front end of the business hall is connected to the unified power grid video monitoring platform in the disaster recovery center through the power supply company's intranet switch in the local computer room, and is forwarded by the unified power grid video monitoring platform to the digital application platform for monitoring the quality and efficiency of business hall operation management. Users can view videos through the digital application platform for monitoring the quality and efficiency of business hall operation management.

[0035] The back end of the AI intelligent analysis collection in the business hall is deployed in the local computer room, and the AI intelligent events are uploaded to the business hall operation quality and efficiency monitoring platform in the disaster recovery center through the power supply company's intranet switch.

[0036] Using AI intelligent cameras and algorithm servers, customized scenario models are developed for the business hall. The system can automatically identify specific events and scenarios, including customers submitting materials, user behaviors, and internal activities in the business hall, etc. Real-time collection and intelligent analysis of various data in the business hall are carried out. Through deep learning algorithms, ordinary behaviors are identified, and abnormal behaviors and potential safety hazards are detected to ensure the safe operation of the business hall. By analyzing customer behavior data, bottlenecks in the service process are identified to help managers formulate optimization plans and improve customer satisfaction.

[0037] The beneficial effects of the present invention are as follows. Compared with the prior art, the present invention provides a video analysis and perception system for a power supply business hall monitoring system. Through video perception analysis, the operation status can be comprehensively grasped, the operation management level and work efficiency are significantly improved. The system realizes the whole-process monitoring from the time when a user enters the business hall to the end of business handling, improves the intelligent and automated level, improves the safety management efficiency, reduces potential safety risks, enhances the customer experience, and ensures the continuous improvement of the service quality of the business hall.

[0038] Based on the spirit of the present invention, those skilled in the art can easily think that a computer program product can be obtained based on the aforementioned video analysis and perception system for a power supply business hall monitoring system. The computer program product can include a computer-readable storage medium, on which computer-readable program instructions for enabling a processor to implement various aspects of the present disclosure are uploaded. That is, the present application also includes a terminal, including a processor and a storage medium; the storage medium is used for storing instructions; the processor is used for operating according to the instructions to execute the video analysis and perception system for a power supply business hall monitoring system as described above.

[0039] A computer-readable storage medium can be a tangible device that can hold and store instructions for use by an instruction execution device. A computer-readable storage medium may be, for example - but not limited to - an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (non-exhaustive list) of the computer-readable storage medium include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disc (DVD), a memory stick, a floppy disk, a mechanically encoded device, such as a punched card or raised structures in grooves having instructions stored thereon, and any suitable combination of the foregoing. The computer-readable storage medium as used herein is not construed as an instantaneous signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., an optical pulse through an optical fiber cable), or an electrical signal transmitted through a wire.

[0040] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to various computing / processing devices, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network may include a copper transmission cable, an optical fiber transmission, a wireless transmission, a router, a firewall, a switch, a gateway computer, and / or an edge server. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in each computing / processing device.

[0041] Computer program instructions for performing the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine - related instructions, microcode, firmware instructions, state - setting data, or source code or object code written in any combination of one or more programming languages, including object - oriented programming languages such as Smalltalk, C++, etc., and conventional procedural programming languages such as the "C" language or similar programming languages. The computer - readable program instructions may be executed entirely on the user's computer, partially on the user's computer, executed as a stand - alone software package, partially on the user's computer and partially on a remote computer, or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider). In some embodiments, by using the state information of the computer - readable program instructions to customize an electronic circuit, such as a programmable logic circuit, a field - programmable gate array (FPGA), or a programmable logic array (PLA), the electronic circuit can execute the computer - readable program instructions to implement various aspects of the present disclosure.

[0042] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications or equivalent substitutions can still be made to the specific embodiments of the present invention. Any modification or equivalent substitution that does not depart from the spirit and scope of the present invention shall be covered by the protection scope of the claims of the present invention.

Claims

1. A video analysis and perception system for a power supply business hall monitoring system, including a front end of the business hall and a monitoring back end, characterized in that: The front end of the business hall includes a variety of AI intelligent monitoring cameras. The variety of AI intelligent monitoring cameras are installed in each business hall area of the power supply company. Different types of cameras are set according to the on-site environment and applications, and are uniformly connected to the monitoring platform of the power supply company. The video signal is connected to a high-definition video storage NVR through a video cable to realize video decoding and video recording storage; The monitoring back end includes a streaming media forwarding management terminal, an AI intelligent behavior analysis terminal, a video face comparison terminal, an intelligent passenger flow analysis terminal, and a high-definition video storage NVR; The streaming media forwarding management terminal is used to realize real-time face capture and comparison analysis, black and white list linkage control, record of personnel entry and exit frequency, high-definition video linkage playback, personnel feature recognition, personnel correlation relationship recognition, intelligent personnel classification, real-time number statistics, face retrieval by image search, expansion of intelligent security protection system. At the same time, it also serves as a streaming media data forwarding terminal to forward streaming media data to the business hall platform for centralized monitoring; The AI intelligent behavior analysis terminal adopts an embedded design, integrates a high-performance GPU module, and embeds a deep learning algorithm, and is used to realize job behavior analysis, street behavior analysis, safety helmet detection, street detection, and number statistics; The video face comparison terminal adopts an embedded design, integrates a high-performance GPU module, and embeds a deep learning algorithm, and is used to realize face recognition and storage; The high-definition video storage NVR adopts a standard compression technology, supports dual-code stream, and is used to realize multi-screen processing and display, video motion detection, digital video recording, playback, video data management, data backup, pan-tilt or lens control, high-speed dome camera control, video loss alarm; The intelligent passenger flow analysis terminal realizes the statistics of the number of people in each area by adding passenger flow cameras in each area of the business hall and provides data access; mines and analyzes historical passenger flow data for optimizing the layout of the business hall area, counter allocation, and business configuration; statistics the peak acceptance and passenger flow pressure data of each area; Deploy binocular passenger flow statistics cameras at the entrance and exit of the power supply business hall to count the incoming and outgoing passenger flow personnel by integrating image processing, video analysis, pattern recognition, and artificial intelligence technologies; The video data of the business hall video monitoring is accessed to the unified power grid video monitoring platform of the disaster recovery center through a high-definition digital video recorder in the local computer room. The video data collected by the AI intelligent analysis at the front end of the business hall is accessed to the unified power grid video monitoring platform of the disaster recovery center through the power supply company's intranet switch in the local computer room, and is forwarded by the unified power grid video monitoring platform to the digital application platform for monitoring the quality and efficiency of the business hall operation management, so that users can view videos through the digital application platform for monitoring the quality and efficiency of the business hall operation management; The back end of the AI intelligent analysis collection in the business hall is deployed in the local computer room, and the AI intelligent events are uploaded to the business hall operation quality and efficiency monitoring platform of the disaster recovery center through the power supply company's intranet switch.

2. The video analysis and perception system for the power supply business hall monitoring system according to claim 1, wherein Set up infrared cameras and high-speed dome cameras at the entrance and exit of the business hall, and set up ultra-high-definition and ultra-low-illuminance cameras in the business area.

3. The video analysis and perception system for the power supply business hall monitoring system according to claim 2, wherein, The AI ​​intelligent behavior analysis terminal further includes: The intelligent environmental monitoring module is used to realize the analysis of relics and the detection of crowd gatherings. It monitors and analyzes the image data in the business hall in real time in the business hall environment. When it is detected that customers have left items at the counter, or bulk goods and abnormal objects appear, it automatically performs image comparison and analysis, identifies abnormal situations, and immediately generates alarms. The alarm information is transmitted in real time to the digital application platform for monitoring the quality and efficiency of business hall operation management. When abnormal crowd gatherings are detected in the business hall, it automatically identifies and immediately triggers an early warning.

4. The video analysis and perception system for the power supply business hall monitoring system according to claim 3, characterized in that, The AI ​​intelligent behavior analysis terminal further includes: The comprehensive security monitoring module is used to monitor and analyze the operating status of the monitoring system in real time. It automatically detects and immediately reports any failure or abnormality in the monitoring system, and conducts long-term tracking and optimization of the operating status of the monitoring system through the query and analysis of historical information.

5. The video analysis and perception system for the power supply business hall monitoring system according to claim 4, characterized in that, The faults or abnormalities include abnormal contrast, abnormal brightness, blur, color cast, picture freezing, video jitter, PTZ out of control, and video signal loss of the video image.

6. The video analysis and perception system for the power supply business hall monitoring system according to claim 5, characterized in that, The AI ​​intelligent behavior analysis terminal further includes: The customer behavior analysis module is used to count the frequency of customers' business transactions. Through video recognition, it can identify customers in the business hall and obtain statistical data on the frequency of customers' business transactions within a preset time. Through analysis, it can further obtain user behavior motivations and personal preference data and display them through graphical technology; and monitor the movement trajectories of personnel.

7. The video analysis and perception system for the power supply business hall monitoring system according to claim 6, characterized in that, The AI ​​intelligent behavior analysis terminal further includes: The business material digital management module is used to realize the intelligent processing of paper materials submitted by customers at the business acceptance window. When customers submit paper materials at the acceptance window, paper order pictures are obtained through high-definition capture or scanning technology. After the material capture or scanning is completed, the order pictures are automatically uploaded to the digital application platform for monitoring the quality and efficiency of business hall operations management; key information is automatically extracted from the order pictures, and the orders are classified and saved according to the preset classification rules. The corresponding order pictures are retrieved by order number to realize order positioning and query; at the same time, the order processing business personnel are automatically associated.

8. A terminal comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is used to operate according to the instructions to execute the video analysis and perception system for the power supply business hall monitoring system according to any one of claims 1-7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by a processor, the video analysis and perception system for a power supply business hall monitoring system described in any one of claims 1 to 7 is implemented.

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