Cabinet operation and maintenance authorization system

Abstract

The invention discloses a cabinet operation and maintenance authorization system, which comprises a cabinet management system, a management communication module and a camera module, and is characterized in that the cabinet management system comprises a face recognition system, and the camera module transmits acquired face information of people to the cabinet management system through the management communication module; acquiring external forms and features of a human body through a verification camera, and establishing an authorization information base according to the acquired external forms and features; a threshold value is preset for the monitoring camera, and the area is dynamically monitored; if it is monitored that the departure time of the authorized person exceeds a set threshold value or the cabinet management system detects that an unauthorized person enters the monitoring area, and the distance is smaller than a set distance threshold value, locking operation is triggered. The risk of unauthorized access is reduced by adding a monitoring camera and continuously and dynamically monitoring appearance features and dynamic states of authorized personnel.

Description

Technical Field

[0001] The present invention relates to the field of computer application technology, and in particular to a cabinet operation and maintenance authorization system. Background Art

[0002] Traditional cabinet operation and maintenance authorization systems often rely on simple physical security measures such as door locks or password locks. Although these measures can prevent unauthorized access to a certain extent, they have many limitations. For example, door locks are easily copied or lost, and password locks may lose their protective function due to password leakage. In addition, traditional systems lack real-time monitoring and intelligent recognition capabilities, and cannot effectively monitor the dynamic environment around the cabinet, let alone automatically adjust security measures according to personnel activities. With the continuous development of technologies such as artificial intelligence, the Internet of Things, and big data, the cabinet operation and maintenance authorization system has ushered in new opportunities for change. By introducing advanced face recognition technology, image processing technology, and dynamic monitoring technology, it can achieve comprehensive perception and intelligent analysis of the environment around the cabinet, thereby greatly improving the physical security level of the cabinet.

[0003] For example, Chinese patent announcement CN103593595B discloses a low-voltage electrical cabinet based on facial recognition and a safety control method thereof, the cabinet comprising a cabinet, characterized in that it also comprises: a camera module, embedded in the cabinet, for identifying the user's facial information; an automatic lock, arranged on the door of the cabinet, for realizing automatic locking of the door; an automatic door closer, embedded in the cabinet, for realizing automatic closing after the door is opened; a management communication module, for communicating with the management system of the cabinet and controlling the operation of the automatic lock, and the facial information identified by the camera module is sent to the management system through the management communication module; and a cabinet alarm module, controlled by the management communication module, for triggering an alarm.

[0004] The comparison document does not monitor the behavior of authorized and unauthorized personnel, so the security of the cabinet cannot be guaranteed. Summary of the invention

[0005] The present application provides a cabinet operation and maintenance authorization system, which reduces the risk of unauthorized access by adding surveillance cameras and continuously and dynamically monitoring the appearance characteristics and movements of authorized personnel, and can more accurately identify authorized personnel and monitor their movements, thereby improving the security of the cabinet. By continuously monitoring the movements of authorized personnel, it is ensured that only authorized personnel can operate the cabinet within the specified time.

[0006] The present application provides a cabinet operation and maintenance authorization system, including a cabinet management system, a management communication module and a camera module, wherein the cabinet management system includes a face recognition system, the management communication module is used to communicate with the cabinet management system, and the camera module transmits the collected facial information of a person to the cabinet management system through the management communication module, and compares the facial information with the facial information in the authorization information library in the face recognition system in the cabinet management system, so as to determine whether the current access person is an authorized person; Cameras include surveillance cameras and verification cameras. The specific steps for setting up cameras are as follows: S101, a monitoring camera and a verification camera are set on the cabinet, and the monitoring camera and the verification camera are connected to each other for communication, and a USB interface is set on the cabinet door; S102, collecting the external form and features of the human body through the verification camera, and establishing an authorization information database according to the collected external form and features; S103, setting a preset threshold for the surveillance camera to dynamically monitor the area; S104, based on the dynamic monitoring of the area in step S103, if it is monitored that the authorized personnel leave the site for more than the set time threshold or the cabinet management system detects that an unauthorized person enters the monitoring area and the distance is less than the set distance threshold, the locking operation is triggered; the specific steps of setting several monitoring cameras are: S201, setting up a number of surveillance cameras around the cabinet, capturing images of authorized personnel through the surveillance cameras, extracting features using image processing technology, and establishing a model based on the extracted features; S202, the surveillance camera captures the actions of the authorized personnel in real time, and compares the captured actions with the established model; S203, based on step S202, when discontinuous motion is detected, the authorized person is outlined in real time, and dynamic changes of the environment around the authorized person are identified.

[0007] Preferably, a verification camera is arranged at the entrance of the cabinet, the verification camera is used for face recognition, and the monitoring camera is slidably arranged on the cabinet through a slide rail. A motor is fixedly installed at one end of the slide rail, and the motor is controlled by the cabinet management system to make the monitoring camera slide on the slide rail.

[0008] Preferably, the threshold includes a time threshold and a distance threshold. The time threshold refers to the time interval after the authorized personnel leaves the monitoring area, when the cabinet management system considers that the personnel has left the monitoring area and triggers related operations. The distance threshold is the distance range defined around the cabinet. When an unauthorized person enters the range of the distance threshold, an alarm is triggered.

[0009] Preferably, monitoring cameras are slidably arranged on the top, bottom and both sides of the cabinet, and a slide groove capable of accommodating the cabinet door is arranged on one side of the cabinet. After the verification camera completes the recognition, the cabinet door is slid into the slide groove on the side of the cabinet.

[0010] Preferably, the cabinet management system uses a surveillance camera to capture the video stream in the monitoring area in real time, and based on the contour extracted in step S201, the contour is stroked, that is, a clearly visible line is drawn on the contour line. The system establishes a background model based on the initial state of the monitoring area. By comparing the real-time video stream with the background model, the cabinet management system can detect inconsistencies with the background model.

[0011] Preferably, the specific steps of dynamically dividing the surveillance cameras are: S301, build system architecture; S302, setting the initial position of the surveillance camera; S303, identifying and tracking body parts using an image recognition algorithm; S304, based on the recognition of the body part in step S303, setting a light source controller and a directional lighting system; S305, the dynamic processing module adjusts the position and task of the surveillance camera according to the received tracking results; the dynamic division of labor module allocates and switches the surveillance tasks in real time according to the changes in the surveillance requirements.

[0012] Preferably, the system architecture includes a surveillance camera, an image recognition processor, a dynamic processing module, a dynamic division of labor module and a monitoring center; the image recognition processor receives the images captured by the surveillance camera, and uses image recognition and processing algorithms to identify and track specific body parts of the monitored object in real time. The dynamic processing module adjusts the monitoring task and position of the surveillance camera in real time according to the body part position information provided by the image recognition processor. The dynamic division of labor module allocates and switches monitoring tasks between multiple surveillance cameras in real time. The monitoring center receives data and information from each module.

[0013] Preferably, a light source controller and a directional lighting system are provided, and the initial brightness and illumination range of the lighting system are set. After the monitoring camera recognizes the authorized person, it sends a signal to turn on the lighting to the light source controller. After receiving the signal, the light source controller turns on the lighting. After receiving the signal to turn on the lighting, the light source controller immediately parses the signal content, and adjusts the brightness and illumination range of the lighting system according to the instructions in the signal. The light source controller controls the directional lighting system to turn on. The unauthorized person's limb recognition parameters are set on the image recognition processor, and the threshold is set. The monitoring camera captures the image of the monitoring area and transmits the image to the image recognition processor. The image recognition processor recognizes the features of the authorized person and compares the recognized limb features of the authorized person with the preset threshold. When the limb features exceed the preset threshold, the image recognition processor generates a signal, and the signal is sent to the light source controller and the alarm system through the preset signal transmission path. After receiving the signal, the light source controller controls the directional lighting system to turn off, and the alarm system triggers an alarm.

[0014] Preferably, the specific steps of authorization decryption through the USB port are: S501, setting a USB interface on the cabinet door and configuring the control system of the cabinet door; S502, setting the authorized device; S503, the authorization device cooperates with the USB interface to decrypt the cabinet door.

[0015] One or more technical solutions provided in the present application have at least the following technical effects or advantages: by adding surveillance cameras and continuously and dynamically monitoring the appearance characteristics and movements of authorized personnel, the risk of unauthorized access is reduced, and authorized personnel can be more accurately identified and their movements can be monitored, thereby improving the security of the cabinet. By continuously monitoring the movements of authorized personnel, it is ensured that only authorized personnel can operate the cabinet within the specified time, while avoiding security risks caused by misoperation or forgetting to lock the door, etc., and the cabinet can be kept unlocked while ensuring security, thereby improving the convenience of operation; Through physical feature recognition, the authorized personnel can be accurately identified. Through action continuity analysis, personnel replacement or abnormal behavior can be discovered and responded to in a timely manner. Through tracing and surrounding dynamic identification, illegal intrusion can be effectively prevented. It ensures that the authorized personnel continue to maintain the same identity after authorization, prevents personnel replacement or illegal intrusion, and ensures the safety of the operating environment. Through dynamic processing and dynamic division of labor, the camera can adjust the monitoring task in real time and follow the movements of authorized personnel for monitoring. Body part tracking technology ensures the accuracy and real-time nature of monitoring. The system adjusts the monitoring strategy in real time according to changes in monitoring needs and the actions of authorized personnel to adapt to different monitoring scenarios and needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A schematic diagram of a process flow of a cabinet operation and maintenance authorization system according to the present invention; Figure 2 This is a front view of a cabinet according to an embodiment of the present invention; Figure 3 A schematic diagram of a process for setting up a plurality of surveillance cameras according to an embodiment of the present invention; Figure 4 This is a schematic diagram of the structure of a cabinet according to an embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of a cabinet door being pushed into a slide slot according to an embodiment of the present invention; Figure 6 A schematic diagram of a process for dynamically dividing the work of surveillance cameras according to an embodiment of the present invention; Figure 7 A schematic diagram of a process for setting the unattended time in an embodiment of the present invention; Figure 8 The figure is a flow chart of authorization and decryption of a USB port according to an embodiment of the present invention. DETAILED DESCRIPTION

[0017] To facilitate the understanding of the present invention, the present application will be described more comprehensively below with reference to the relevant drawings; the drawings show preferred embodiments of the present invention, but the present invention can be implemented in many different forms and is not limited to the embodiments described herein; on the contrary, the purpose of providing these embodiments is to enable a more thorough and comprehensive understanding of the disclosed content of the present invention.

[0018] It should be noted that the terms “vertical”, “horizontal”, “up”, “down”, “left”, “right” and similar expressions used in this document are only for illustrative purposes and do not represent the only implementation method.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which the present invention belongs; the terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention; the term "and / or" used herein includes any and all combinations of one or more related listed items.

[0020] Embodiment 1: Figure 1 A cabinet operation and maintenance authorization system according to an embodiment of the present invention comprises a cabinet management system, a management communication module and a camera module, wherein the cabinet management system comprises a face recognition system, the management communication module is used to communicate with the cabinet management system, and the camera module transmits the collected face information of a person to the cabinet management system through the management communication module, and compares the face information with the face information in the authorization information library in the face recognition system in the cabinet management system, so as to determine whether the current access person is an authorized person; Figure 1and Figure 2 As shown, S101, installing a monitoring camera and a verification camera on the cabinet, and establishing a communication connection between the monitoring camera and the verification camera; Specifically, the verification camera is arranged at the entrance of the cabinet, the verification camera is used for face recognition, the monitoring camera is slidably arranged on the cabinet through a slide rail, a motor is fixedly installed at one end of the slide rail, the motor is controlled by the cabinet management system, so that the monitoring camera slides on the slide rail, and the monitoring camera and the verification camera are wirelessly connected. At the same time, the monitoring camera and the verification camera are integrated into the monitoring system, and data sharing and linkage control can be performed.

[0021] S102, collecting the external form and features of the human body through the verification camera, and establishing an authorization information database according to the collected external form and features; Furthermore, external forms and features include but are not limited to body shape, clothing, color, etc. When authorized personnel operate, the appearance features are collected through the verification camera and an authorization information database is established. The authorization information database is updated and maintained monthly. When the verification camera captures the image of a person, it is compared with the authorization information database to verify the identity of the person. Based on the comparison results, authorized personnel are allowed to operate the cabinet, and for unauthorized personnel, an alarm mechanism is triggered.

[0022] S103, setting a preset threshold for the surveillance camera to dynamically monitor the area; Specifically, the threshold includes a time threshold and a distance threshold. The time threshold refers to the time interval after the authorized personnel leaves the monitoring area, when the system considers that the authorized personnel has left and triggers related operations (such as alarms, notifications, etc.). In highly sensitive areas, the time threshold is set to a few minutes. In this embodiment, the time threshold is 10 minutes. If the authorized personnel does not return or make a legal departure confirmation within 10 minutes after leaving the cabinet area, the system will trigger an alarm and notify the data center manager; a preset distance threshold is set. When unauthorized personnel enter the range set by the distance threshold around the cabinet, in this embodiment, the distance threshold is set to 3 meters. Once someone enters the range set by the distance threshold without authorization, the system regards it as an unauthorized person entering and immediately triggers an alarm; the cabinet is dynamically monitored according to the time threshold and the distance threshold, and video images are captured and analyzed in real time by the surveillance camera to monitor the personnel dynamics and environmental changes in a specific area.

[0023] S104, based on the dynamic monitoring of the area in step S103, if it is monitored that the authorized personnel leave the site for more than the set time threshold or the cabinet management system detects that an unauthorized person enters the monitoring area and the distance is less than the set distance threshold, the locking operation is triggered; Furthermore, if the surveillance camera detects that the authorized personnel have left the scene for more than the set time threshold or the monitoring system detects that an unauthorized person has entered the monitoring area and the distance is less than the set distance threshold, a locking command is immediately sent to the lock system of the control cabinet. After receiving the locking command, the lock system immediately locks the cabinet. If the surveillance camera monitors that there is no change in the authorized personnel, the lock remains unlocked.

[0024] The technical solutions in the above embodiments of the present application have at least the following technical effects or advantages: By adding surveillance cameras and continuously and dynamically monitoring the appearance and movements of authorized personnel, the risk of unauthorized access is reduced, and authorized personnel can be identified more accurately and their movements can be monitored, thereby improving the security of the cabinet. By continuously monitoring the movements of authorized personnel, it is ensured that only authorized personnel can operate the cabinet within the specified time, while avoiding security risks caused by misoperation or forgetting to lock the door. The cabinet can be kept unlocked while ensuring safety, thereby improving the convenience of operation.

[0025] Embodiment 2: Based on the surveillance camera set in Embodiment 1, multiple surveillance cameras are set in this embodiment, which can shoot authorized personnel from multiple perspectives. Because the authorized personnel have large changes in movements during work, such as bending over, squatting, etc., it is necessary to continuously lock the authorized personnel to ensure that the operator will not change after authorization.

[0026] like Figure 3 , Figure 4 and Figure 5 As shown in the figure, the specific steps for setting up several surveillance cameras are: S201, setting up a number of surveillance cameras around the cabinet, capturing images of authorized personnel through the surveillance cameras, extracting features using image processing technology, and establishing a model based on the extracted features; Specifically, monitoring cameras are slidably arranged on the top, bottom and both sides of the cabinet, and a slide groove capable of accommodating a cabinet door is arranged on one side of the cabinet. After verifying the recognition of the camera, the cabinet door slides into the slide groove on the side of the cabinet to prevent the cabinet door from blocking the monitoring camera on the side, thereby making the monitoring range wider. The four monitoring cameras are respectively arranged to shoot the authorized personnel from multiple perspectives, so that even if the authorized personnel have a large change in the amplitude of their movements during work, such as bending and squatting, the monitoring camera can still capture their movements, thereby making the camera shooting range larger; body features are extracted from the captured image, the shape contour in the image is extracted by using Canny edge detection, the image is converted into HSV color space, the color of the clothes is extracted by using a color segmentation algorithm, the color distribution and proportion of the extracted color are represented by a color histogram, the key points of the head, trunk and limbs are located by using the human key point detection algorithm OpenPose, the size of the head, trunk and limbs is calculated according to the distance and proportional relationship between the key points, and the features such as the extracted shape contour, clothing color and size information are integrated to form a complete body feature description.

[0027] The extracted physical features are stored in a structured manner in the database, a unique identifier is assigned to each authorized person, a machine learning algorithm is used to identify the physical features, the model is trained using the labeled physical feature data, and the trained model is verified using an independent verification data set.

[0028] S202, the surveillance camera continuously captures the actions of the authorized personnel and compares the real-time captured actions with the established model; Furthermore, the surveillance camera enters the real-time capture mode and continuously records all actions of authorized personnel. The system loads the established action model library, extracts key action features from the real-time captured video stream, such as joint angles, motion trajectories, speed changes, etc., compares the extracted action features with the standard action patterns in the model library, presets a similarity threshold, and compares the comparison result with the similarity threshold. Action features greater than the similarity threshold indicate that the action is highly matched with the model and is considered to be coherent and natural; otherwise, there may be an abnormality. When an abnormality is detected, the system immediately triggers an alarm, records the abnormal event and notifies relevant personnel.

[0029] S203, based on step S202, when the action is detected to be incoherent, outlining the authorized person in real time, and identifying dynamic changes in the environment surrounding the authorized person; Furthermore, the system uses a high-definition camera or other visual sensors to capture the video stream in the monitoring area in real time, and based on the contour extracted in step S201, the contour is stroked, that is, a clearly visible line is drawn on the contour line to highlight the boundary of the authorized person. As the authorized person moves and changes his posture, the system needs to update the stroke effect in real time to maintain the accuracy and visibility of the contour. While stroking in real time, the system continuously monitors the environment around the authorized person. The system establishes a background model based on the initial state of the monitoring area. The background model describes the state of the monitoring area when there is no dynamic change. By comparing the real-time video stream with the background model, the system can detect any changes inconsistent with the background model, paying special attention to new people or abnormal objects outside the border, and the interaction between the authorized person and the environment within the border. The system sets rules for abnormal identification. The rules for abnormal identification include the appearance of unauthorized people outside the border, the appearance of specific types of objects within the border, and the authorized person performing certain prohibited behaviors. When the time for the person outside the border to appear exceeds the preset time threshold of 2S, the system performs a locking operation, triggers an alarm, and notifies relevant personnel.

[0030] The technical solutions in the above-mentioned embodiments of the present application have at least the following technical effects or advantages: accurately locking authorized personnel through physical feature recognition, timely discovering and responding to personnel replacement or abnormal behavior through motion continuity analysis, and effectively preventing illegal intrusion through tracing and surrounding dynamic identification; ensuring that the authorized personnel continue to maintain consistent identity after authorization, preventing personnel replacement or illegal intrusion, and ensuring the safety of the operating environment.

[0031] Embodiment 3: Based on the multiple surveillance cameras in Embodiment 2, in this embodiment, multiple surveillance cameras are dynamically processed, the surveillance cameras are dynamically divided into different tasks, and the responsible parts of authorized personnel are tracked during the action process, so that authorized personnel can be accurately monitored.

[0032] like Figure 6 As shown in the figure, the specific steps for dynamic division of labor for surveillance cameras are: S301, build system architecture; Specifically, the system architecture includes a surveillance camera, an image recognition processor, a dynamic processing module, a dynamic division of labor module and a monitoring center, etc. The surveillance camera is responsible for capturing real-time images of the monitoring area. The image processor receives the images captured by the surveillance camera and uses image recognition and processing algorithms to identify and track specific body parts (such as head, limbs, torso, etc.) of the monitored object in real time. The dynamic processing module adjusts the monitoring task and position of the surveillance camera in real time according to the body part position information provided by the image recognition processor. Through preset algorithms and rules, it dynamically calculates the optimal monitoring position and angle of the surveillance camera and sends control instructions to the surveillance camera for adjustment. The dynamic division of labor module allocates and switches monitoring tasks in real time among multiple surveillance cameras according to changes in monitoring requirements and the output of the dynamic processing module. According to the performance, location, monitoring range and other factors of the surveillance camera, a reasonable division of labor strategy is formulated to ensure that each camera can perform monitoring tasks at its best position. As the core of the monitoring system, the monitoring center is responsible for overall monitoring and scheduling. The monitoring center receives data and information from various modules, conducts comprehensive analysis and processing, and forms a comprehensive monitoring report and early warning information.

[0033] S302, setting the initial position of the surveillance camera; The placement principles of surveillance cameras are determined based on the size of the cabinet, including its height, width, and depth. The placement principles include ensuring that the camera can clearly capture the key parts of authorized personnel (such as face, hands, etc.) and avoid monitoring blind spots. According to the placement principles, the surveillance camera slides to the appropriate position of the slide rail.

[0034] S303, identifying and tracking body parts using an image recognition algorithm; Specifically, the YOLO algorithm adopts a single-stage detection framework to divide the image into grids. Each grid is responsible for predicting the object whose center point falls within the grid. The network structure includes convolutional layers, pooling layers, fully connected layers, etc., which are used to extract image features and predict the location, category and confidence of the object. The input image is subjected to feature extraction through convolutional layers and pooling layers to obtain a high-dimensional feature map. The feature map contains key information such as edges, textures, and shapes in the image. A fully connected layer is applied to the feature map to predict whether there is an object in each grid, as well as the location (bounding box), category and confidence of the object. The YOLO algorithm completes the target detection and classification tasks directly in a single neural network. For overlapping bounding boxes, the non-maximum suppression (NMS) algorithm is used for screening, and the optimal bounding box is retained as the final detection result. Fine-tuning the detection result bounding box and mapping the category label can obtain more accurate tracking results.

[0035] S304, based on the recognition of the body part in step S303, setting a light source controller and a directional lighting system; Furthermore, the initial brightness (such as the number of lumens) and the illumination range (such as the beam angle, coverage, etc.) of the lighting system are set. After the surveillance camera recognizes the authorized person, it sends a signal to turn on the lighting to the light source controller. After receiving the signal, the light source controller turns on the lighting. After receiving the signal to turn on the lighting, the light source controller immediately analyzes the signal content and adjusts the brightness, illumination range and other parameters of the lighting system to preset values ​​according to the instructions in the signal. The light source controller controls the directional lighting system to turn on to ensure that the lighting can accurately cover the operation area of ​​the authorized person; the body recognition parameters of unauthorized persons are set on the image recognition processor, and the threshold is set. The surveillance camera continuously captures the image of the monitoring area and transmits it to the image recognition processor. The image recognition processor uses a pre-trained algorithm or model to process the image in real time, recognize the features of the authorized person (such as face, torso, gait, etc.), and compares the recognized body features of the authorized person with the preset threshold. When the body features exceed the preset threshold, the image recognition processor generates a signal including a command to turn off the light source and trigger an alarm. The signal is sent to the light source controller and the alarm system through a preset signal transmission path. After receiving the signal, the light source controller controls the directional lighting system to turn off, and the alarm system triggers an alarm.

[0036] S305, the dynamic processing module adjusts the position and task of the surveillance camera according to the received tracking results; the dynamic division of labor module allocates and switches the surveillance tasks in real time according to the changes in the surveillance requirements; Furthermore, the dynamic processing module analyzes the received data, identifies the changing trends of body parts and possible action paths, and based on the analysis results, calculates the parameters that need to be adjusted for the surveillance camera, such as angle, focal length, monitoring range, etc. Finally, the dynamic processing module sends the adjustment instructions to the surveillance camera through the high-speed communication interface; the dynamic division of labor module perceives changes in monitoring needs through user instructions, system preset rules or external events. Based on the perceived changes in needs, the dynamic division of labor module re-plans the monitoring tasks and determines the monitoring area, key monitoring objects, etc. of each surveillance camera.

[0037] In some embodiments, in a highly secure data center, there are multiple important cabinets that need to be closely monitored. Slide rails are installed around each cabinet, and multiple high-definition surveillance cameras are set on the slide rails. Each camera initially has a fixed monitoring area and task. In front of a cabinet, the system recognizes an unauthorized person trying to approach the cabinet through face recognition technology. The dynamic processing module receives a real-time video stream from the camera, which contains a picture of the unauthorized person approaching the cabinet. The dynamic processing module quickly analyzes the video stream, identifies the identity, location, movement direction and other key information of the unauthorized person, and predicts his possible intention (such as trying to illegally access the cabinet). Based on the analysis results, the dynamic processing module calculates the angle and focal length that need to be adjusted for the camera closest to the unauthorized person in order to more clearly monitor his behavior, and at the same time notifies other cameras to keep monitoring the current area to prevent other abnormal situations from occurring. The dynamic processing module may also trigger an alarm system to notify security personnel to go and handle it. The dynamic processing module sends an adjustment instruction to the selected camera through a high-speed communication interface, and the camera responds quickly and adjusts in place, and begins to closely track the unauthorized person. The module senses the security threat of unauthorized personnel approaching the cabinet, and recognizes that the current main monitoring demand is to focus on the behavior of unauthorized personnel and other potential threats around the cabinet. The dynamic division of labor module re-plans the monitoring tasks based on the perceived needs, and adjusts the cameras that originally monitored other cabinets or areas to the surroundings of the current cabinet to form a denser monitoring network to ensure that the actions of unauthorized personnel are monitored. The dynamic division of labor module also ensures that other key areas (such as data center entrances, other important cabinets, etc.) are still monitored by cameras. The dynamic division of labor module assigns new monitoring tasks to each camera to ensure that each camera clearly defines its own monitoring area and key monitoring objects. For unauthorized personnel, the module will designate one or more cameras for continuous tracking and monitoring.

[0038] The technical solutions in the above-mentioned embodiments of the present application have at least the following technical effects or advantages: through dynamic processing and dynamic division of labor, the camera can adjust the monitoring tasks in real time and follow the movements of authorized personnel for monitoring. Body part tracking technology ensures the accuracy and real-time nature of monitoring. The system adjusts the monitoring strategy in real time according to changes in monitoring requirements and the actions of authorized personnel to adapt to different monitoring scenarios and requirements.

[0039] Embodiment 4: Based on the above embodiment 3, when the surveillance camera does not recognize a person, the cabinet is closed, and when the preset unmanned time is exceeded, the cabinet door is closed, such as Figure 7 shown.

[0040] S401, setting the unattended time, preset area and sensitivity according to the monitoring area; Furthermore, within the monitoring area of ​​the surveillance camera, use the mouse to delineate a rectangular or irregular shaped area within 1 meter of the cabinet door and its surroundings. This area is the preset area, which can cover the activity range of all possible people approaching or standing in front of the cabinet door. Adjust the surveillance camera parameters to adjust the sensitivity of the surveillance camera. The higher the sensitivity, the more sensitive the surveillance camera is to detect human activities, but it may also lead to an increase in the false alarm rate (such as fluttering leaves, changes in light, etc. may also be misjudged as human activities). The lower the sensitivity, the lower the detection accuracy may be, but the false alarm rate will also be reduced accordingly. According to this embodiment, the sensitivity of the surveillance camera is adjusted to within the preset sensitivity range.

[0041] In highly sensitive or important cabinet areas, the unmanned time is set to 5 minutes. If the surveillance camera does not detect any human activity in the preset area for 5 consecutive minutes, the system will automatically trigger security measures. In some relatively loose or less frequently visited areas, the unmanned time is set to 10 minutes and the set unmanned time is saved in the cabinet management system.

[0042] S402, an automatic door is provided on the top of the cabinet; Specifically, the automatic door on the top of the cabinet can be controlled manually or automatically. For manual control, a control button is set inside the cabinet, and authorized personnel control the lifting and lowering of the automatic door through the control button. For automatic control, the automatic door is linked to the monitoring center. When the surveillance camera detects the approach of an authorized person in the preset area, the cabinet management system sends a command to the motor drive device to raise the automatic door. When the surveillance camera does not detect any human activity for 5 or 10 consecutive minutes (unmanned time), the cabinet management system sends a command to lower the automatic door and cover the cabinet door.

[0043] S403, when the automatic door covers the cabinet door for a period of time exceeding the unmanned time, the cabinet management system controls the cabinet door to be closed and locked; Specifically, when the automatic door covers the cabinet door for more than 5 minutes or 10 minutes when no one is around, the cabinet management system sends a command to the motor that controls the closing of the cabinet door to start working. The motor drives the cabinet door to close smoothly. After the cabinet door is completely closed, the cabinet management system controls the locking mechanism (such as electromagnetic lock, mechanical lock, etc.) to perform the locking operation; when the cabinet door needs to be opened again, the authorized personnel approaches the verification camera for authorization identification, and the cabinet management system performs identity authentication. After the verification is passed, the cabinet management system controls the cabinet door to unlock and open, and the transparent automatic door body automatically rises after the cabinet door is opened, which is convenient for personnel to operate.

[0044] The technical solution in the above-mentioned embodiments of the present application has at least the following technical effects or advantages: it can automatically close the cabinet door when there is no one in the monitored area, and automatically close and lock the cabinet door after the unmanned state continues for a certain period of time, so as to ensure the safety of the items in the cabinet; at the same time, through the re-identification authorization mechanism, it can ensure that only authorized personnel can open the cabinet door, thereby further enhancing security; by setting parameters such as the unmanned time, it can be flexibly adjusted according to different application scenarios and security requirements, thereby improving the applicability and practicality of the solution.

[0045] Embodiment 5: Based on the above embodiments, in this embodiment, a USB port is provided on the cabinet door, and a device is connected via the USB port for authorization and decryption to open the cabinet door.

[0046] like Figure 8 As shown in the figure, the specific steps for authorization and decryption through the USB port are: S501, setting a USB interface on the cabinet door and configuring the control system of the cabinet door; Specifically, connect the USB interface to the control system of the cabinet, test the USB interface, configure the system in the system management interface, select the encryption algorithm AES-256 in the system configuration, and after the encryption algorithm is set, configure the key length and set the key length to 256. Then, set the time threshold and set the time threshold to 500 milliseconds. The set time threshold is the maximum time interval from the authorized personnel inserting the authorized device to the cabinet door opening.

[0047] S502, setting the authorized device; Furthermore, the authorization device in this embodiment is a USB authorization key, which is connected to the smart USB authorization key through a secure communication protocol, and the encryption key and ID number are written into the USB authorization key. A unique identifier is assigned to each USB authorization key for identifying and distinguishing different devices.

[0048] S503, the authorization device cooperates with the USB interface to decrypt the cabinet door; Specifically, the authorized personnel inserts the USB authorization key into the USB interface on the cabinet door. After detecting the insertion of the USB authorization key, the cabinet door control system starts the information reading program. Through the USB interface, the cabinet door control system can read the user identity information and access permission data stored in the USB authorization key. The read information will be sent to the decryption module or verification module for processing by the cabinet door control system. The decryption module is responsible for decrypting the encrypted information in the USB authorization key to obtain the user's true identity and permissions; the verification module is responsible for checking whether this information is consistent with the records in the cabinet door access control list. The cabinet management system will make a decision on whether to allow the user access based on the decryption or verification results. If the information matches and is valid, the cabinet management system will generate a A signal allowing access; if the information does not match or is invalid, the cabinet management system will generate a signal denying access. When the cabinet door control system receives the signal allowing access, it will immediately control the cabinet door opening mechanism to make the door automatically open within the set response time. At this time, the authorized personnel enter the cabinet to operate. If the cabinet door control system receives a signal denying access, the cabinet door will remain closed, and the cabinet door control system will give the user a corresponding rejection prompt through the display screen or sound prompt on the cabinet door. The prompt content may include "insufficient access rights", "invalid authorized device", etc. Regardless of whether the access is successful, the cabinet door control system will automatically record the user's access information, including access time, user identity, authorized device ID, etc.

[0049] The technical solution in the above-mentioned embodiment of the present application has at least the following technical effects or advantages: the built-in encryption information of the specific device connected through the USB port, combined with the continuous monitoring of the appearance characteristics and dynamics of the authorized personnel by the surveillance camera, can form a double protection to ensure that only truly authorized personnel can access the cabinet. The combination of physical feature recognition technology and USB authorization device can more accurately lock the authorized personnel and avoid misidentification or impersonation of the identity.

[0050] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A cabinet operation and maintenance authorization system, characterized in that: It includes a cabinet management system, a management communication module and a camera module. The cabinet management system includes a face recognition system. The management communication module is used to communicate with the cabinet management system. The camera module transmits the collected facial information of the person to the cabinet management system through the management communication module, and compares the facial information with the facial information in the authorized information library in the face recognition system in the cabinet management system, so as to determine whether the current access person is an authorized person. Cameras include surveillance cameras and verification cameras. The specific steps for setting up cameras are as follows: S101, a monitoring camera and a verification camera are set on the cabinet, and the monitoring camera and the verification camera are connected to each other by communication. At the same time, a USB interface is set on the cabinet door, and authorization decryption is performed through the USB interface; S102, collecting the external form and features of the human body through the verification camera, and establishing an authorization information database according to the collected external form and features; S103, setting a preset threshold for the surveillance camera to dynamically monitor the area; S104, based on the dynamic monitoring of the area in step S103, if it is monitored that the authorized personnel leave the site for more than the set time threshold or the cabinet management system detects that an unauthorized person enters the monitoring area and the distance is less than the set distance threshold, the locking operation is triggered; Specific steps to set up several surveillance cameras: S201, setting up a number of surveillance cameras around the cabinet, capturing images of authorized personnel through the surveillance cameras, extracting features using image processing technology, and establishing a model based on the extracted features; S202, the surveillance camera captures the actions of the authorized personnel in real time, and compares the captured actions with the established model; S203, based on step S202, when discontinuous motion is detected, the authorized person is outlined in real time, and dynamic changes of the environment around the authorized person are identified.

2. A cabinet operation and maintenance authorization system as claimed in claim 1, characterized in that: A verification camera is set at the entrance of the cabinet. The verification camera is used for face recognition. The monitoring camera is slidably set on the cabinet through a slide rail. A motor is fixedly installed at one end of the slide rail. The motor is controlled by the cabinet management system to make the monitoring camera slide on the slide rail.

3. A cabinet operation and maintenance authorization system as claimed in claim 1, characterized in that: The thresholds include time threshold and distance threshold. The time threshold refers to the time interval after the authorized personnel leaves the monitoring area, when the cabinet management system considers that the personnel has left the monitoring area and triggers related operations. The distance threshold is the distance range defined around the cabinet. When unauthorized personnel enter the range of the distance threshold, an alarm is triggered.

4. A cabinet operation and maintenance authorization system as claimed in claim 1, characterized in that: Surveillance cameras are slidably arranged on the top, bottom and both sides of the cabinet, and a slide groove capable of accommodating a cabinet door is arranged on one side of the cabinet. After the verification camera completes recognition, the cabinet door is slid into the slide groove on the side of the cabinet.

5. A cabinet operation and maintenance authorization system as claimed in claim 1, characterized in that: The cabinet management system uses a surveillance camera to capture the video stream in the monitoring area in real time, and strokes the contour based on the contour extracted in step S201, that is, draws a clear and visible line on the contour line. The system establishes a background model based on the initial state of the monitoring area. By comparing the real-time video stream with the background model, the cabinet management system can detect inconsistencies with the background model.

6. A cabinet operation and maintenance authorization system as claimed in claim 5, characterized in that: Specific steps for dynamic division of labor for surveillance cameras: S301, build system architecture; S302, setting the initial position of the surveillance camera; S303, identifying and tracking body parts using an image recognition algorithm; S304, based on the recognition of the body part in step S303, setting a light source controller and a directional lighting system; S305, the dynamic processing module adjusts the position and task of the surveillance camera according to the received tracking result; The dynamic division of labor module allocates and switches monitoring tasks in real time according to changes in monitoring requirements.

7. A cabinet operation and maintenance authorization system as claimed in claim 6, characterized in that: The system architecture includes surveillance cameras, image recognition processors, dynamic processing modules, dynamic division of labor modules and monitoring centers; the image recognition processor receives images captured by surveillance cameras, and uses image recognition and processing algorithms to identify and track specific body parts of the monitored objects in real time. The dynamic processing module adjusts the monitoring tasks and positions of the surveillance cameras in real time based on the body part position information provided by the image recognition processor. The dynamic division of labor module allocates and switches monitoring tasks between multiple surveillance cameras in real time. The monitoring center receives data and information from each module.

8. A cabinet operation and maintenance authorization system as claimed in claim 6, characterized in that: Set up a light source controller and a directional lighting system, set the initial brightness and illumination range of the lighting system, and after the surveillance camera recognizes the authorized person, send a signal to the light source controller to turn on the lighting. After the light source controller receives the signal, it turns on the lighting. After receiving the signal to turn on the lighting, the light source controller immediately analyzes the signal content, adjusts the brightness and illumination range of the lighting system according to the instructions in the signal, and controls the directional lighting system to turn on; The unauthorized personnel body recognition parameters are set on the image recognition processor, and the threshold is set. The surveillance camera captures the image of the surveillance area and transmits the image to the image recognition processor. The image recognition processor identifies the characteristics of the authorized personnel and compares the identified body characteristics of the authorized personnel with the preset threshold. When the body characteristics exceed the preset threshold, the image recognition processor generates a signal, and the signal is sent to the light source controller and the alarm system through the preset signal transmission path. After receiving the signal, the light source controller controls the directional lighting system to turn off, and the alarm system triggers an alarm.

9. A cabinet operation and maintenance authorization system as claimed in claim 1, characterized in that: Specific steps for authorization and decryption through the USB interface: S501, setting a USB interface on the cabinet door and configuring the control system of the cabinet door; S502, setting the authorized device; S503, the authorization device cooperates with the USB interface to decrypt the cabinet door.

Images