Information security management system based on face recognition

Abstract

The invention discloses an information security management system based on face recognition, which relates to the technical field of information security and industrial automation and comprises a face recognition unit, an operation start-stop unit and a background service center. The face recognition unit comprises a high-definition camera, an intrusion recognition module, an AI electronic fence server, a switch and a face recognition background server; the face recognition background server comprises a face recognition machine, a face recognition comparison module and a feature extraction module; through the arrangement of the personnel identification unit, the face identification technology in the personnel identification unit, a high-precision camera and an advanced face identification algorithm, rapid and accurate identification of an individual is realized, and after an employee is identified in front of a face machine, the system automatically records identification information and associates the identification information to an individual authorization level and a listing area. Rapid and accurate identification of personnel identities is realized, and illegal entrance and illegal entrance are effectively prevented.

Description

Technical Field

[0001] The present invention belongs to the technical field of information security and industrial automation, and in particular relates to an information security management system based on face recognition. Background Art

[0002] With the rapid development of information technology, information security management has become increasingly important in various industrial, commercial and public areas. Traditional self-service signboards lack inherent safety interlocks. People are in dangerous areas, and others illegally remove signs and open locks, which poses a safety risk. Modern safety management requires more efficient and secure identity authentication methods, as well as security systems that can monitor and respond in real time. Over the years, violations such as non-standard self-service signboards have been repeatedly banned. To eliminate such violations from the root, it is necessary to solve the problem from the inherent safety of equipment. Therefore, we propose an information security management system based on face recognition. Summary of the invention

[0003] The purpose of the present invention is to provide an information security management system based on face recognition. By setting up a personnel identification unit, it solves the problem that the existing self-service signboard lacks inherent safety interlocking, and there are safety risks when personnel are in dangerous areas and others remove the signboard or open the lock illegally.

[0004] In order to solve the above technical problems, the present invention is achieved through the following technical solutions:

[0005] The present invention is an information security management system based on face recognition, comprising a face recognition unit, an operation start-stop unit and a background service center;

[0006] The face recognition unit includes a high-definition camera, an intrusion recognition module, an AI electronic fence server, a switch and a face recognition background server; the high-definition camera is unidirectionally connected to the intrusion recognition module; the intrusion recognition module is unidirectionally connected to the AI ​​electronic fence server; the AI ​​electronic fence server is unidirectionally connected to the switch; the face recognition background server includes a face recognition machine, a face recognition comparison module and a feature extraction module; the face recognition machine is unidirectionally connected to the face recognition comparison module; the face recognition comparison module is unidirectionally connected to the feature extraction module; the switch is unidirectionally connected to the face recognition background server; the face recognition comparison module is connected to the storage module 5G communication module; the operation start-stop unit includes a PCL controller, a production line safety interlock, and a roller gate machine, emergency evacuation module, button, safety door lock, 3D image extinguishing and warning light; the switch is unidirectionally connected to the PCL controller; the PCL controller is unidirectionally connected to the production line safety interlock; the production line safety interlock is unidirectionally connected to the safety door lock, 3D image extinguishing and warning light respectively; the production line safety interlock is unidirectionally connected to the roller gate; the button is unidirectionally connected to the emergency evacuation module; the emergency evacuation module is unidirectionally connected to the production line safety module and the roller gate respectively; the background service center includes listing records, delisting records, production line shutdown records, fence alarm records, classification queries, production line operation logs, AI captured intrusion images and production line operation data analysis; the background service center is connected to the storage module 5G communication; the operation start and stop unit is connected to the background service center WSN network.

[0007] As a preferred technical solution, the high-definition camera is responsible for exploring the range selected by the AI ​​electronic fence server; demarcating the electronic fence area and interlocking with the equipment. Once an unauthorized person is detected to break in, the high-definition camera is used to automatically capture photos and save records; the intrusion recognition module is responsible for using the high-definition camera to identify people who break into the range selected by the AI ​​electronic fence server, capture and save them, and send shutdown data for upload; the AI ​​electronic fence server is responsible for customizing virtual boundaries in the physical space, and these boundaries correspond to the parameters set in the AI ​​electronic fence server. When an object enters or leaves the monitoring area, the AI ​​electronic fence server uses the intrusion recognition module to analyze the behavior pattern and automatically identify abnormal behavior or unauthorized intrusion. Once an unauthorized person is detected to break in, the high-definition camera automatically captures photos and triggers the equipment to shut down. This interlocking mechanism greatly improves production safety; the switch is responsible for MAC The face recognition machine is responsible for using high-precision cameras and advanced face recognition algorithms to achieve fast and accurate identification of individuals. After employees are identified in front of the face recognition machine, the system automatically records the identification information and associates it with the personal authorization level and listing area. The face recognition comparison module is responsible for preprocessing the collected face images, including denoising, brightness adjustment, contrast enhancement, etc., to improve the accuracy of recognition, and calculate the similarity between the feature vector of the input face image and the feature vector in the database. The feature extraction module is responsible for extracting key features from the preprocessed face image, and comparing the extracted face feature vector with the reference template stored in the database to determine whether they are the same person.

[0008] As a preferred technical solution, the PCL controller is responsible for making logical judgments based on the state of the input signal and controlling the state of the output signal through a pre-written program. This logical control can realize the automated operation of production lines, machinery and equipment, etc.; the production line safety interlock is responsible for ensuring that the equipment on the production line is started and shut down in a predetermined order through the safety interlock mechanism to avoid accidents caused by equipment operation errors. Once any parameter is detected to exceed the preset safety range, the safety interlock system will immediately sound an alarm and take corresponding measures to start the emergency evacuation module; the roller gate is responsible for real-time capture and comparison of facial images to ensure that the identity of the person entering is accurate, and then control the entry and exit of personnel by rotating three metal rods to ensure that only verified personnel can enter a specific area. After the person passes, the metal rod will quickly reset and close the passage to ensure the safety and order of the area. When someone is detected trying to break in by force, the roller gate will start the alarm system and send an alarm message to the management personnel; the emergency evacuation module is responsible for the roller gate rod to fall down in Qidong to facilitate rapid evacuation, and the equipment safety interlock is automatically opened, the equipment is shut down, and the equipment can only be operated after the roller gate rod is reset; The button is responsible for activating the emergency evacuation module when pressed, ensuring that in the event of an emergency, personnel are organized and guided to evacuate quickly and orderly from the dangerous area to a safe area; the safety door lock is responsible for linkage with the face recognition system to ensure that only personnel who have been verified by face recognition and authorized can open the door lock and enter the specific area. This control mechanism effectively prevents unauthorized personnel from entering and exiting at will; the 3D image extinguisher is responsible for immediately displaying an eye-catching three-dimensional warning message when a person successfully hangs a sign, such as "someone hangs a sign, no operation allowed". This three-dimensional display method can quickly attract the attention of surrounding personnel more quickly than traditional flat notices, thereby effectively preventing misoperation and further providing a warning; the warning light is responsible for quickly conveying key information through different colors and flashing modes to enhance the safety warning effect. When a person successfully hangs a sign or the system detects potential safety hazards, the warning light will immediately light up and flash in red or other eye-catching colors to quickly attract the attention of surrounding personnel, thereby effectively preventing misoperation or accidents. In emergency situations, such as fire or equipment failure, the warning light can quickly flash special signals to guide on-site personnel to quickly evacuate the dangerous area in the correct way.

[0009] As a preferred technical solution, the sign-on record is responsible for recording in detail the relevant information of each sign-on operation of a person, so as to facilitate subsequent auditing and monitoring; the sign-off record allows the administrator to review the sign-off operation of each person to ensure that all operations comply with safety regulations, so as to promptly discover potential irregular operations or safety hazards; the production line shutdown record is responsible for analyzing efficiency problems in the production process, helping managers identify the patterns and causes that lead to shutdowns, so as to take measures to reduce unnecessary shutdowns and improve production efficiency; the fence alarm record is responsible for the fence alarm record can be used to analyze security loopholes and risk points, helping managers identify the patterns and causes that lead to alarms, so as to take measures to reduce unauthorized intrusions and improve the safety level; the classified query is responsible for enabling administrators to quickly find the required information according to different categories and keywords, so as to make timely safety decisions; the production line operation log is responsible for recording the operation of the production line The production line operation log is usually equipped with an intuitive and easy-to-use user interface to ensure that operators and administrators can easily view and analyze log data; the AI ​​intrusion image capture is responsible for capturing images of people invading the AI ​​electronic fence. The captured images will be transmitted to the management platform in real time for management personnel to view. At the same time, the system will also send alarm information to the background to notify management personnel for further processing; the production line operation data analysis is responsible for analyzing the operating efficiency of the production line, including production speed, output, equipment utilization and other indicators, identifying production bottlenecks, proposing improvement measures, and generating detailed production efficiency reports, fault analysis reports, and quality improvement reports based on the analysis results. Provide decision support for management, monitor the operating status of the production line in real time, and issue alarms in time when abnormal situations are detected to remind management personnel to deal with them in time.

[0010] The present invention has the following beneficial effects:

[0011] The present invention sets up a personnel identification unit, in which the face recognition technology uses a high-precision camera and an advanced face recognition algorithm to achieve rapid and accurate identification of individuals. After the employee is identified in front of the face machine, the system automatically records the identification information and associates it with the personal authorization level and the listing area, thereby achieving rapid and accurate identification of the person's identity and effectively preventing counterfeiting and illegal entry.

[0012] The present invention sets an operation start-stop unit, and the roller gate is responsible for real-time capture and comparison of facial images to ensure that the identity of the person entering is accurate. The entry and exit of the personnel are controlled by the rotation of three metal rods to ensure that only verified personnel can enter the specific area. After receiving the data uploaded by the personnel identification unit, it can be distinguished whether the current listed person is a specific authorized person, so as to release or block the person. This control mechanism effectively prevents unauthorized personnel from entering and exiting at will.

[0013] The present invention sets up a background service center, and the administrator can log in to the background to view the real-time listing status; and perform data analysis on the listing status of each person, and can also provide data analysis on the operation and downtime of the operating table and production line, so as to understand the on-site safety management situation. The staff can view the listing and delisting records, the operating table shutdown log, and the production line operation log in the background for production line operation data and operation efficiency analysis. At the same time, they can query the images of people who invade the AI ​​electronic fence server, and the captured images will be transmitted to the management platform in real time for the management personnel to view. At the same time, the system will also send the alarm information to the background to notify the management personnel for further processing.

[0014] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0016] Figure 1 This is a flow chart of an information security management system based on face recognition according to the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] See also Figure 1 As shown, the present invention is an information security management system based on face recognition, including a face recognition unit, an operation start-stop unit and a background service center;

[0019] The face recognition unit includes a high-definition camera, an intrusion recognition module, an AI electronic fence server, a switch and a face recognition background server; the high-definition camera is unidirectionally connected to the intrusion recognition module; the intrusion recognition module is unidirectionally connected to the AI ​​electronic fence server; the AI ​​electronic fence server is unidirectionally connected to the switch; the face recognition background server includes a face recognition machine, a face recognition comparison module and a feature extraction module; the face recognition machine is unidirectionally connected to the face recognition comparison module; the face recognition comparison module is unidirectionally connected to the feature extraction module; the switch is unidirectionally connected to the face recognition background server; the face recognition comparison module is connected to the storage module 5G communication module; the operation start-stop unit includes a PCL controller, a production line safety interlock, and a roller gate machine , emergency evacuation module, button, safety door lock, 3D screen shutoff and warning light; the switch is unidirectionally connected to the PCL controller; the PCL controller is unidirectionally connected to the production line safety interlock; the production line safety interlock is unidirectionally connected to the safety door lock, 3D screen shutoff and warning light respectively; the production line safety interlock is unidirectionally connected to the roller gate; the button is unidirectionally connected to the emergency evacuation module; the emergency evacuation module is unidirectionally connected to the production line safety module and the roller gate respectively; the background service center includes listing records, delisting records, production line shutdown records, fence alarm records, classification queries, production line operation logs, AI captured intrusion images and production line operation data analysis; the background service center is connected to the storage module 5G communication; the operation start and stop unit is connected to the background service center WSN network.

[0020] The high-definition camera is responsible for exploring the range selected by the AI ​​electronic fence server; demarcating the electronic fence area and interlocking with the equipment. Once an unauthorized person is detected to break in, the high-definition camera is used to automatically capture photos and save records; the intrusion recognition module is responsible for using the high-definition camera to identify people who break into the range selected by the AI ​​electronic fence server, capture and save them, and send shutdown data for upload; the AI ​​electronic fence server is responsible for customizing virtual boundaries in the physical space. These boundaries correspond to the parameters set in the AI ​​electronic fence server. When an object enters or leaves the monitoring area, the AI ​​electronic fence server uses the intrusion recognition module to analyze the behavior pattern and automatically identify abnormal behavior or unauthorized intrusion. Once an unauthorized person is detected to break in, the high-definition camera automatically captures photos and triggers the equipment to shut down. This interlocking mechanism greatly improves production safety; the switch is responsible for data packets through MAC addresses The facial recognition machine is responsible for using high-precision cameras and advanced facial recognition algorithms to achieve fast and accurate identification of individuals. After employees are identified in front of the facial recognition machine, the system automatically records the identification information and associates it with the personal authorization level and listing area. The facial recognition comparison module is responsible for preprocessing the collected facial images, including denoising, brightness adjustment, contrast enhancement, etc., to improve the accuracy of recognition, and calculate the similarity between the feature vector of the input facial image and the feature vector in the database. The feature extraction module is responsible for extracting key features from the preprocessed facial image, and comparing the extracted facial feature vector with the reference template stored in the database to determine whether they are the same person.

[0021] The PCL controller is responsible for making logical judgments based on the status of the input signal and controlling the status of the output signal through a pre-written program. This logical control can realize the automated operation of production lines, machinery and equipment, etc. The production line safety interlock is responsible for ensuring that the equipment on the production line is started and shut down in a predetermined order through the safety interlock mechanism to avoid accidents caused by equipment operation errors. Once any parameter is detected to be beyond the preset safety range, the safety interlock system will immediately sound an alarm and take corresponding measures to start the emergency evacuation module. The roller gate is responsible for real-time capture and comparison of facial images to ensure that the identity of the person entering is accurate. It controls the entry and exit of personnel by rotating three metal rods to ensure that only verified personnel can enter a specific area. After the person passes, the metal rod will quickly reset and close the channel to ensure the safety and order of the area. When someone tries to break in by force, the roller gate will start the alarm system and send an alarm message to the management personnel. The emergency evacuation module is responsible for the roller gate rod to fall down when Qidong is in operation, which is convenient for rapid evacuation. At the same time, the equipment safety interlock is automatically opened, the equipment is shut down, and the equipment can only be operated after the roller gate rod is reset. The button is responsible for pressing The emergency evacuation module is activated at the same time to ensure that in an emergency, personnel are organized and guided to evacuate quickly and orderly from the dangerous area to a safe area; the safety door lock is responsible for linkage with the face recognition system to ensure that only personnel who have been verified by face recognition and authorized can open the door lock to enter a specific area. This control mechanism effectively prevents unauthorized personnel from entering and leaving at will; the 3D evacuation device is responsible for immediately displaying an eye-catching three-dimensional warning message when a person successfully hangs a sign, such as "someone has hung a sign and operation is prohibited". This three-dimensional display method can quickly attract the attention of surrounding personnel more quickly than traditional flat notices, thereby effectively preventing misoperation and further warning; the warning light is responsible for quickly conveying key information through different colors and flashing modes to enhance the safety warning effect. When a person successfully hangs a sign or the system detects potential safety hazards, the warning light will immediately light up and flash in red or other eye-catching colors to quickly attract the attention of surrounding personnel, thereby effectively preventing misoperation or accidents. In emergency situations, such as fire or equipment failure, the warning light can quickly flash special signals to guide on-site personnel to quickly evacuate the dangerous area in the correct way.

[0022] The tag-on record is responsible for recording in detail the relevant information of each person's tag-on operation for subsequent auditing and monitoring; the tag-off record allows the administrator to review each person's tag-off operation to ensure that all operations comply with safety regulations, so as to promptly discover potential irregular operations or safety hazards; the production line shutdown record is responsible for analyzing efficiency problems in the production process, helping managers identify the patterns and causes that lead to shutdowns, so as to take measures to reduce unnecessary shutdowns and improve production efficiency; the fence alarm record is responsible for the fence alarm record can be used to analyze security vulnerabilities and risk points, helping managers identify the patterns and causes that lead to alarms, so as to take measures to reduce unauthorized intrusions and improve safety levels; the classified query is responsible for enabling administrators to quickly find the required information based on different categories and keywords, so as to make timely safety decisions; the production line operation log is responsible for recording the operating status and events of the production line for tracking To track production processes, monitor equipment status and ensure the smoothness and safety of the production process, the production line operation log is usually equipped with an intuitive and easy-to-use user interface to ensure that operators and administrators can easily view and analyze log data; AI intrusion image capture is responsible for capturing images of people invading the AI ​​electronic fence. The captured images will be transmitted to the management platform in real time for management personnel to view. At the same time, the system will also send alarm information to the background to notify management personnel for further processing; production line operation data analysis is responsible for analyzing the operating efficiency of the production line, including production speed, output, equipment utilization and other indicators, identifying production bottlenecks, proposing improvement measures, and generating detailed production efficiency reports, fault analysis reports, and quality improvement reports based on the analysis results. Provide decision-making support for management, monitor the operating status of the production line in real time, and issue alarms in time when abnormal situations are detected to remind management personnel to deal with them in time.

[0023] A specific application of this embodiment is: after clicking the sign button, the person stands in front of the face recognition machine to identify the information sign and selects the corresponding sign area. After the sign is successfully raised, the warning light on the operating table flashes, and the 3D image display prompts the words "Someone is wearing a sign and operation is prohibited" to attract the attention of people around, thereby serving as a warning. At this time, the operating table stops running completely, the equipment cannot be started, and the controller button is frozen. When the equipment stops, the designated person needs to pass through the roller gate for identity authentication. After the identity of the person entering is accurate, the entry and exit of the person is controlled by the rotation of three metal rods to ensure that only verified people can enter the specific area, so as to carry out self-reliance projects. When the self-reliance project is over, click the door opening button, and the staff turns the gate stick to exit the gate. Through face recognition, it is identified that the current person is the designated person entering the sign. After confirming the identity, the sign is removed, and the equipment resumes operation. The sign information record of the current designated person is uploaded to the background service center for subsequent auditing and monitoring.

[0024] It is worth noting that in the above system embodiment, the various units included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0025] In addition, those skilled in the art can understand that all or part of the steps in the above-mentioned embodiments can be completed by instructing related hardware through a program, and the corresponding program can be stored in a computer-readable storage medium.

[0026] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An information security management system based on face recognition, comprising a face recognition unit, an operation start-stop unit and a background service center; characterized in that: The face recognition unit includes a high-definition camera, an intrusion recognition module, an AI electronic fence server, a switch and a face recognition background server; the high-definition camera is unidirectionally connected to the intrusion recognition module; the intrusion recognition module is unidirectionally connected to the AI ​​electronic fence server; the AI ​​electronic fence server is unidirectionally connected to the switch; the face recognition background server includes a face recognition machine, a face recognition comparison module and a feature extraction module; the face recognition machine is unidirectionally connected to the face recognition comparison module; the face recognition comparison module is unidirectionally connected to the feature extraction module; the switch is unidirectionally connected to the face recognition background server; the face recognition comparison module is connected to the storage module 5G communication module; The operation start-stop unit includes a PCL controller, a production line safety interlock, a roller gate, an emergency evacuation module, a button, a safety door lock, a 3D image shutoff and a warning light; the switch is unidirectionally connected to the PCL controller; the PCL controller is unidirectionally connected to the production line safety interlock; the production line safety interlock is unidirectionally connected to the safety door lock, the 3D image shutoff and the warning light respectively; the production line safety interlock is unidirectionally connected to the roller gate; the button is unidirectionally connected to the emergency evacuation module; the emergency evacuation module is unidirectionally connected to the production line safety module and the roller gate respectively; The background service center includes listing records, delisting records, production line shutdown records, fence alarm records, classification queries, production line operation logs, AI captured intrusion images and production line operation data analysis; the background service center is connected to the storage module 5G communication; the operation start and stop unit is connected to the WSN network of the background service center.

2. According to claim 1, an information security management system based on face recognition is characterized in that: The HD camera is responsible for exploring the range selected by the AI ​​electronic fence server; demarcating the electronic fence area and interlocking with the device. Once an unauthorized person is detected to break in, the HD camera is used to automatically capture photos and save records; The intrusion identification module is responsible for using the high-definition camera to identify and capture and save people who break into the range selected by the AI ​​electronic fence server, and at the same time send the shutdown data for upload; The AI ​​electronic fence server is responsible for customizing virtual boundaries in the physical space. These boundaries correspond to the parameters set in the AI ​​electronic fence server. When an object enters or leaves the monitoring area, the AI ​​electronic fence server uses the intrusion recognition module to analyze the behavior pattern and automatically identify abnormal behavior or unauthorized intrusion. Once an unauthorized person is detected, the high-definition camera automatically captures photos and triggers the equipment to shut down. This interlocking mechanism greatly improves production safety; The switch is responsible for accurately forwarding data packets by MAC address, thereby improving network performance. When a data packet is received, it checks its source MAC address and records which port it is associated with. It then decides which port to forward the data packet to based on the destination MAC address, or broadcasts it to all ports. The facial recognition machine is responsible for using high-precision cameras and advanced facial recognition algorithms to achieve rapid and accurate identification of individuals. After an employee identifies himself in front of the facial recognition machine, the system automatically records the identification information and associates it with the individual's authorization level and listing area; The face recognition and comparison module is responsible for preprocessing the collected face images, including denoising, brightness adjustment, contrast enhancement, etc., to improve the recognition accuracy and calculate the similarity between the feature vector of the input face image and the feature vector in the database; The feature extraction module is responsible for extracting key features from the preprocessed face image, comparing the extracted face feature vector with the reference template stored in the database, and determining whether they are the same person.

3. According to claim 2, an information security management system based on face recognition is characterized in that: The PCL controller is responsible for making logical judgments based on the state of the input signal and controlling the state of the output signal through a pre-written program. This logical control can realize the automated operation of production lines, machinery and equipment, etc. The production line safety interlock is responsible for ensuring that the equipment on the production line is started and shut down in a predetermined order through the safety interlock mechanism to avoid accidents caused by equipment operation errors. Once any parameter is detected to be beyond the preset safety range, the safety interlock system will immediately sound an alarm and take corresponding measures to start the emergency evacuation module; The roller gate is responsible for real-time capture and comparison of facial images to ensure that the identity of the person entering is accurate. It then controls the entry and exit of people by rotating three metal rods to ensure that only verified people can enter a specific area. After a person passes through, the metal rods will quickly reset and close the passage to ensure the safety and order of the area. When it detects someone trying to break in by force, the roller gate will activate the alarm system and send an alarm message to the management staff. The emergency evacuation module is responsible for the roller gate rod to fall down in Qidong, which is convenient for rapid evacuation. At the same time, the equipment safety interlock is automatically opened, the equipment is shut down, and the equipment can only be operated after the roller gate rod is reset; The button is responsible for activating the emergency evacuation module when pressed, ensuring that in the event of an emergency, personnel are organized and guided to evacuate quickly and orderly from the danger zone to a safe zone; The security door lock is responsible for linkage with the face recognition system to ensure that only authorized personnel who have passed face recognition verification can open the door lock and enter the specific area. This control mechanism effectively prevents unauthorized personnel from entering and exiting at will; The 3D image display device is responsible for immediately displaying an eye-catching three-dimensional warning message, such as "someone is hanging a sign, no operation allowed", when someone successfully hangs a sign. This three-dimensional display method can quickly attract the attention of people around than traditional flat notices, thereby effectively preventing misoperation and further providing a warning effect; The warning light is responsible for quickly conveying key information through different colors and flashing modes to enhance the safety warning effect. When a person successfully hangs up a sign or the system detects a potential safety hazard, the warning light will immediately light up and flash in red or other eye-catching colors to quickly attract the attention of surrounding personnel, thereby effectively preventing misoperation or accidents. In emergency situations, such as fire or equipment failure, the warning light can quickly flash special signals to guide on-site personnel to quickly evacuate the danger zone in the correct way.

4. The information security management system based on face recognition according to claim 3 is characterized in that: The badge record is responsible for recording in detail the relevant information of each badge operation of personnel, so as to facilitate subsequent audit and monitoring; The delisting record allows the administrator to review each person's delisting operation to ensure that all operations comply with safety regulations, thereby promptly discovering potential irregular operations or safety hazards; The production line downtime record is responsible for analyzing efficiency issues in the production process, helping managers identify the patterns and causes of downtime, so as to take measures to reduce unnecessary downtime and improve production efficiency; The fence alarm record is responsible for analyzing security loopholes and risk points, helping managers identify patterns and causes of alarms, so as to take measures to reduce unauthorized intrusions and improve security levels; The classification query is responsible for enabling the administrator to quickly find the required information according to different categories and keywords, so as to make timely security decisions; The production line operation log is responsible for recording the operation status and events of the production line, so as to track the production process, monitor the equipment status and ensure the smoothness and safety of the production process. The production line operation log is usually equipped with an intuitive and easy-to-use user interface to ensure that operators and administrators can easily view and analyze log data; The AI ​​intrusion capture image is responsible for capturing images of people invading the AI ​​electronic fence. The captured images will be transmitted to the management platform in real time for management personnel to view. At the same time, the system will also send alarm information to the background to notify management personnel for further processing; The production line operation data analysis is responsible for analyzing the operating efficiency of the production line, including indicators such as production speed, output, equipment utilization, etc., identifying production bottlenecks, proposing improvement measures, and generating detailed production efficiency reports, fault analysis reports, and quality improvement reports based on the analysis results. It provides decision support for management, monitors the operating status of the production line in real time, and issues alarms in a timely manner when abnormal situations are detected to remind management personnel to deal with them in a timely manner.

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