Intelligent monitoring equipment based on computer vision

Abstract

The invention relates to the technical field of monitoring equipment, in particular to intelligent monitoring equipment based on computer vision, which comprises a main body, a rotating assembly is arranged in the main body, and a control assembly is fixedly connected to the side surface of the main body; a rotating wheel and a transmission wheel can be driven to be engaged through driving of a motor, so that a rotating rod can rotate, an acquisition mechanism at the top of the rotating rod can be driven, rotation of the acquisition mechanism is monitored, and the monitoring equipment can cover an omnibearing visual angle through an automatic rotation function; the image processing module comprises a preprocessing unit, a feature extraction unit, a target detection and recognition unit and a behavior analysis unit, the whole area can be comprehensively monitored without installing a plurality of fixed cameras, monitoring dead angles are greatly reduced, the equipment can adjust the rotation angle and direction in real time according to monitoring requirements, and different areas can be flexibly monitored. And the data storage module is used for storing the collected image or video data and the analysis result.

Description

Technical Field

[0001] The present invention relates to the technical field of monitoring equipment, and in particular to an intelligent monitoring equipment based on computer vision. Background Art

[0002] With the development of society and the advancement of science and technology, monitoring equipment has been widely used in security, traffic management, industrial production and other fields.

[0003] Traditional surveillance equipment relies primarily on manual monitoring and simple image recording, and is unable to automatically analyze abnormal behaviors or events in real time within the monitoring scene. This results in low monitoring efficiency and is prone to missed or false alarms. The rapid development of computer vision technology in recent years has opened up new possibilities for intelligent surveillance equipment. However, current computer vision-based surveillance equipment still has some shortcomings, such as poor adaptability to complex scenarios, low detection accuracy, and insufficient real-time performance. These limitations limit its widespread adoption and practical use. Therefore, there is a need for intelligent computer vision-based surveillance equipment to address these issues. Summary of the Invention

[0004] In order to solve the problem that traditional monitoring equipment mainly relies on manual monitoring and simple image recording functions, and is unable to automatically analyze abnormal behaviors or events in the monitoring scene in real time, resulting in low monitoring efficiency and prone to missed or false alarms. In recent years, the rapid development of computer vision technology has provided new possibilities for the intelligentization of monitoring equipment. However, current monitoring equipment based on computer vision still has some shortcomings, such as poor adaptability to complex scenes, low detection accuracy, and insufficient real-time performance, which limit its promotion and use in practical applications. The purpose of the present invention is to provide an intelligent monitoring device based on computer vision to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: A computer vision-based intelligent monitoring device comprises a main body, a rotating assembly is provided inside the main body, and a control assembly is fixedly connected to the side of the main body; The rotating assembly includes a support frame, a motor is installed inside the support frame, an output end of the motor is fixedly connected to a rotating wheel, a side of the rotating wheel is meshedly connected to a transmission wheel, a top of the transmission wheel is fixedly connected to a rotating rod, a top of the rotating rod is fixedly connected to a mounting seat, a side of the mounting seat is fixedly connected to a connecting rod, and a side of the connecting rod is installed with a first acquisition camera; The control component includes a door body, a circuit board is fixedly connected to the inside of the door body, an image processing module, a data storage module, a communication module, an alarm module and an anti-interference module are fixedly connected to the side of the circuit board, and the image processing module includes a preprocessing unit, a feature extraction unit, a target detection and recognition unit and a behavior analysis unit.

[0006] As a preferred solution of the present invention, a bearing seat is installed at the bottom of the support frame, the rotating rod extends to the interior of the bearing seat, and a second acquisition camera is installed on the top of the mounting seat.

[0007] As a preferred solution of the present invention, the image processing module, data storage module and communication module are all electrically connected, and an operation interface is fixedly connected to the side of the door body.

[0008] As a preferred solution of the present invention, the communication module, alarm module and anti-interference module are all electrically connected, a working indicator light is fixedly connected to the side of the door body, and an audible and visual alarm is installed on the side of the door body.

[0009] As a preferred solution of the present invention, the main body includes a box body, a carrying plate is fixedly connected to the interior of the box body, and a through hole is opened on the top of the box body.

[0010] As a preferred solution of the present invention, a power supply is installed inside the box, and a bottom plate is fixedly connected to the bottom of the box.

[0011] As a preferred solution of the present invention, the bottom of the base plate is fixedly connected to a shock-absorbing plate, the bottom of the shock-absorbing plate is fixedly connected to a connecting plate, the bottom of the connecting plate is installed with a moving wheel and a hydraulic cylinder, the output end of the hydraulic cylinder is fixedly connected to a foot, and the shock-absorbing plate is made of ACF artificial cartilage material.

[0012] As a preferred solution of the present invention, four of the shock absorbing plates, connecting plates, moving wheels, hydraulic cylinders and feet are provided.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. In the present invention, the motor is used to drive the rotating wheel and the transmission wheel to engage, so that the rotating rod can be rotated, and then the collection mechanism on the top of the rotating rod can be driven to realize the rotation of the monitoring and collection mechanism. The automatic rotation function enables the monitoring equipment to cover all-round viewing angles, and comprehensive monitoring of the entire area can be achieved without installing multiple fixed cameras, which greatly reduces the monitoring blind spots. According to the monitoring needs, the equipment can adjust the rotation angle and direction in real time and flexibly monitor different areas. Through automatic rotation, the equipment can observe and analyze the target from multiple angles, avoiding misjudgment caused by a single perspective. The equipment can automatically detect and track moving targets. When a target is detected, the equipment can automatically rotate and continue to track to ensure that the target is always within the monitoring range without manual intervention.

[0014] 2. In the present invention, the first acquisition camera and the second acquisition camera are used to collect image or video data of the monitoring scene and transmit it to the image processing module. The image processing module includes a preprocessing unit, a feature extraction unit, a target detection and recognition unit and a behavior analysis unit. The data storage module is used to store the collected image or video data and the analysis results. The communication module is used to transmit and communicate data between the monitoring device and the external monitoring center or user terminal. The alarm module is used to issue an alarm signal when abnormal behavior or events are detected. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a schematic diagram of the overall structure of the present invention; Figure 2 It is a schematic structural diagram of the rotating assembly of the present invention; Figure 3 This is a schematic diagram of the structure of the acquisition component of the present invention; Figure 4 This is a schematic diagram of the control component structure of the present invention; Figure 5 Schematic diagram of the internal structure of the box of the present invention; Figure 6 It is a schematic structural diagram of the mobile fixed component of the present invention.

[0016] In the figure: 1. Main body; 101. Box body; 102. Loading plate; 103. Perforation; 104. Power supply; 105. Bottom plate; 106. Shock-absorbing plate; 107. Connecting plate; 108. Moving wheel; 109. Hydraulic cylinder; 110. Foot; 2. Rotating assembly; 201. Support frame; 202. Motor; 203. Transmission wheel; 204. Rotating rod; 205. Bearing seat; 206. Mounting seat; 207. Connecting rod; 208. First acquisition camera; 209. Second acquisition camera; 210. Rotating wheel; 3. Control assembly; 301. Door body; 302. Operation interface; 303. Working indicator light; 304. Sound and light alarm; 305. Circuit board; 306. Image processing module; 307. Data storage module; 308. Communication module; 309. Alarm module; 310. Anti-interference module. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0018] For examples, see Figures 1-6 , the present invention provides a technical solution: A computer vision-based intelligent monitoring device comprises a main body 1, a rotating component 2 is provided inside the main body 1, and a control component 3 is fixedly connected to the side of the main body 1.

[0019] In this embodiment, Figure 1 、 Figure 2 、 Figure 3 and Figure 4As shown, the rotating component 2 includes a support frame 201, a motor 202 is installed inside the support frame 201, the output end of the motor 202 is fixedly connected to a rotating wheel 210, the side of the rotating wheel 210 is meshed and connected to the transmission wheel 203, the top of the transmission wheel 203 is fixedly connected to a rotating rod 204, the top of the rotating rod 204 is fixedly connected to a mounting base 206, the side of the mounting base 206 is fixedly connected to a connecting rod 207, and the side of the connecting rod 207 is installed with a first acquisition camera 208, the control component 3 includes a door body 301, the interior of the door body 301 is fixedly connected to a circuit board 305, the side of the circuit board 305 is fixedly connected to an image processing module 306, a data storage module 307, a communication module 308, an alarm module 309 and an anti-interference module 310, the image processing module 306 includes a preprocessing unit, a feature extraction unit, a target detection unit, a detection unit, and a detection unit. The detection and recognition unit and the behavior analysis unit can be driven by the motor 202 to drive the rotating wheel 210 and the transmission wheel 203 to engage, so that the rotating rod 204 can be rotated, and then the collection mechanism on the top of the rotating rod 204 can be driven to realize the rotation of the monitoring collection mechanism. The automatic rotation function enables the monitoring equipment to cover all-round viewing angles, and comprehensive monitoring of the entire area can be achieved without installing multiple fixed cameras, which greatly reduces the monitoring blind spots. According to the monitoring needs, the equipment can adjust the rotation angle and direction in real time and flexibly monitor different areas. Through automatic rotation, the equipment can observe and analyze the target from multiple angles to avoid misjudgment due to a single perspective. The equipment can automatically detect and track moving targets. When a target is detected, the equipment can automatically rotate and continue to track to ensure that the target is always within the monitoring range without the need for manual intervention.

[0020] Among them, the bottom of the support frame 201 is installed with a bearing seat 205, the rotating rod 204 extends to the inside of the bearing seat 205, the top of the mounting seat 206 is installed with a second acquisition camera 209, the image processing module 306, the data storage module 307 and the communication module 308 are all electrically connected, the side of the door body 301 is fixedly connected with the operation interface 302, the communication module 308, the alarm module 309 and the anti-interference module 310 are all electrically connected, the side of the door body 301 is fixedly connected with the working indicator light 303, and the side of the door body 301 is installed with an audible and visual alarm 304, which is convenient for operation. The first acquisition camera 208 and the second acquisition camera 209 are used to acquire images or video data of the monitoring scene and transmit them to the image processing module 306. The image processing module 306 includes a preprocessing unit, a feature extraction unit, a target detection and recognition unit, and a behavior analysis unit. The data storage module 307 is used to store the acquired image or video data and the analysis results. The communication module 308 is used to transmit and communicate data between the monitoring device and an external monitoring center or user terminal. The alarm module 309 is used to issue an alarm signal when abnormal behavior or events are detected.

[0021] In this embodiment, Figure 1 、 Figure 5 and Figure 6 As shown, the main body 1 includes a box body 101, the interior of the box body 101 is fixedly connected to a load-bearing plate 102, the top of the box body 101 is provided with a through hole 103, the interior of the box body 101 is installed with a power supply 104, the bottom of the box body 101 is fixedly connected to a bottom plate 105, the bottom of the bottom plate 105 is fixedly connected to a shock-absorbing plate 106, the bottom of the shock-absorbing plate 106 is fixedly connected to a connecting plate 107, a moving wheel 108 and a hydraulic cylinder 109 are installed at the bottom of the connecting plate 107, and the output end of the hydraulic cylinder 109 is fixedly connected to a foot 110, the shock-absorbing plate 106 is made of ACF artificial cartilage material, and there are four shock-absorbing plates 106, connecting plates 107, moving wheels 108, hydraulic cylinders 109 and foot 110. The foot 110 and the moving wheel 108 can be used to perform two-way adjustment of moving and fixing of the computer vision intelligent monitoring equipment, thereby improving the computer vision. The maneuverability and flexibility of the computer vision intelligent monitoring equipment. When the computer vision intelligent monitoring equipment needs to be fixed, the internal hydraulic support column is raised and lowered by driving the hydraulic cylinder 109, so that the foot 110 is in contact with the ground. At this time, the moving wheel 108 leaves the ground, which can realize the stable operation of the computer vision intelligent monitoring equipment. The shock-absorbing plate 106 made of ACF artificial cartilage material is based on the patented principle of artificial cartilage and has extremely high energy absorption. It can absorb a large amount of impact energy and effectively reduce the impact of equipment vibration on surrounding structures and personnel. Compared with traditional rubber shock-absorbing pads, ACF material has better energy absorption performance, requires less material, and is smaller in size. It can better absorb invalid kinetic energy, better carry out production, better protect equipment and personnel safety, and can effectively solve the difficulties and problems required for shock absorption and vibration reduction.

[0022] The working process of the present invention: When the intelligent monitoring device based on computer vision designed by the present invention is working, the motor 202 is driven to drive the rotating wheel 210 and the transmission wheel 203 to engage, so that the rotating rod 204 can be rotated, and then the collection mechanism on the top of the rotating rod 204 can be driven to realize the rotation of the monitoring collection mechanism, thereby realizing the rotation of the monitoring collection mechanism, and then the positions of the first collection camera 208 and the second collection camera 209 can be determined or adjusted. The first collection camera 208 and the second collection camera 209 collect image or video data of the monitoring scene and transmit it to the image processing module 306. The image processing module 306 includes a preprocessing unit, a feature extraction unit, a target detection and recognition unit and a behavior analysis unit. The preprocessing unit performs preprocessing operations such as denoising, enhancement, and normalization on the collected image or video data. The feature extraction unit uses a convolutional neural network to extract feature information of the target from the preprocessed image. The target detection and recognition unit uses Faster R-CNN based on the extracted feature information. The algorithm detects and identifies targets and transmits the detection results to the behavior analysis unit. The behavior analysis unit uses a deep learning-based behavior recognition model, combined with spatiotemporal feature extraction and sequence modeling techniques, to analyze the detected target's behavior and determine whether there is any abnormal behavior. The data storage module 307 uses a combination of local storage and cloud storage. Local storage is used to store recent monitoring data, and cloud storage is used to store long-term monitoring data. The communication module 308 supports multiple communication methods, including wired networks, wireless networks (such as Wi-Fi, 4G / 5G, etc.), and can flexibly select the communication method based on the actual application scenario. The alarm module 309 supports multiple alarm methods, including sound alarms, light alarms, SMS alarms, and email alarms. When the behavior analysis unit detects abnormal behavior, the alarm module 309 issues an alarm signal. At the same time, the communication module transmits relevant information about the abnormal behavior to an external monitoring center or user terminal. The preprocessing unit performs preprocessing operations such as denoising, enhancement, and normalization on the collected image or video data to improve image quality and provide a better foundation for subsequent processing. The feature extraction unit uses deep learning algorithms such as convolution. The neural network extracts target feature information from preprocessed images, including shape, texture, and color. The target detection and recognition unit, based on this extracted feature information, uses a target detection algorithm to detect and identify targets in the surveillance scene. It can accurately identify different types of objects, such as people, vehicles, and animals, and annotate their locations and categories. The behavior analysis unit analyzes the detected targets' motion trajectory, speed, posture, and other information to determine whether there are any abnormal behaviors, such as crowds, illegal intrusions, or vehicles driving against traffic. The behavior analysis unit utilizes a deep learning-based behavior recognition model, combined with spatiotemporal feature extraction and sequence modeling techniques, to accurately analyze target behavior patterns in real time.

[0023] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent monitoring device based on computer vision, comprising a main body (1), characterized in that: A rotating assembly (2) is provided inside the main body (1), and a control assembly (3) is fixedly connected to the side of the main body (1); The rotating assembly (2) comprises a support frame (201), a motor (202) is installed inside the support frame (201), an output end of the motor (202) is fixedly connected to a rotating wheel (210), a side of the rotating wheel (210) is meshedly connected to a transmission wheel (203), a top of the transmission wheel (203) is fixedly connected to a rotating rod (204), a top of the rotating rod (204) is fixedly connected to a mounting seat (206), a side of the mounting seat (206) is fixedly connected to a connecting rod (207), and a side of the connecting rod (207) is installed with a first acquisition camera (208); The control component (3) comprises a door body (301), a circuit board (305) is fixedly connected to the interior of the door body (301), an image processing module (306), a data storage module (307), a communication module (308), an alarm module (309) and an anti-interference module (310) are fixedly connected to the side of the circuit board (305), and the image processing module (306) comprises a pre-processing unit, a feature extraction unit, a target detection and recognition unit and a behavior analysis unit.

2. The intelligent monitoring device based on computer vision according to claim 1, characterized in that: A bearing seat (205) is installed at the bottom of the support frame (201), the rotating rod (204) extends to the inside of the bearing seat (205), and a second acquisition camera (209) is installed on the top of the mounting seat (206).

3. The intelligent monitoring device based on computer vision according to claim 1, characterized in that: The image processing module (306), the data storage module (307) and the communication module (308) are all electrically connected, and an operation interface (302) is fixedly connected to the side of the door body (301).

4. The intelligent monitoring device based on computer vision according to claim 1, characterized in that: The communication module (308), the alarm module (309) and the anti-interference module (310) are all electrically connected, a working indicator light (303) is fixedly connected to the side of the door body (301), and an audible and visual alarm (304) is installed on the side of the door body (301).

5. The intelligent monitoring device based on computer vision according to claim 1, characterized in that: The main body (1) comprises a box body (101), a supporting plate (102) is fixedly connected to the interior of the box body (101), and a through hole (103) is provided on the top of the box body (101).

6. The intelligent monitoring device based on computer vision according to claim 5, characterized in that: A power supply (104) is installed inside the box (101), and a bottom plate (105) is fixedly connected to the bottom of the box (101).

7. The computer vision-based intelligent monitoring device according to claim 6, characterized in that: The bottom of the base plate (105) is fixedly connected to a shock-absorbing plate (106), the bottom of the shock-absorbing plate (106) is fixedly connected to a connecting plate (107), the bottom of the connecting plate (107) is installed with a moving wheel (108) and a hydraulic cylinder (109), the output end of the hydraulic cylinder (109) is fixedly connected to a foot (110), and the shock-absorbing plate (106) is made of ACF artificial cartilage material.

8. The computer vision-based intelligent monitoring device according to claim 7, characterized in that: There are four of the shock absorbing plate (106), the connecting plate (107), the moving wheel (108), the hydraulic cylinder (109) and the foot (110).

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