CN215298410U

CN215298410U - Invasion identification system

Info

Publication number: CN215298410U
Application number: CN202121837477.7U
Authority: CN
Inventors: 尹崇禄; 徐晶
Original assignee: Cas Reachone Beijing Internet Of Things Science & Technology Co ltd
Current assignee: Cas Reachone Beijing Internet Of Things Science & Technology Co ltd
Priority date: 2021-08-06
Filing date: 2021-08-06
Publication date: 2021-12-24
Anticipated expiration: 2031-08-06

Abstract

The application provides an intrusion identification system relates to security protection technical field, and this system includes: the detection device is arranged in the intrusion detection area and is used for detecting the intrusion behavior in the intrusion detection area and the intrusion position when the intrusion behavior occurs; the image acquisition device comprises a first camera and a second camera and is used for being arranged in the intrusion detection area so as to acquire an image of the intrusion detection area and a detailed image when the intrusion behavior occurs; and the recognition processing device is respectively connected with the detection device and the image acquisition device and is used for receiving, analyzing and processing the detection data of the detection device and the image data of the image acquisition device and recognizing the type of the intrusion target. The intrusion identification system provided by the application can acquire the image with higher imaging quality of the intrusion behavior position according to accurate positioning, and identifies the image, so that the problem of lower accuracy of video analysis in the existing intrusion identification is improved.

Description

Invasion identification system

Technical Field

The application relates to the field of security and particularly relates to an intrusion identification system.

Background

MEMS vibration detection in the prior art is a passive intrusion detection technology, and a 3-axis acceleration sensor is usually adopted as a core detection technical means, so that accurate positioning, intrusion behavior classification and the like can be realized according to vibration signals during detection. However, MEMS vibration detection does not have the capability of classifying and identifying targets, and when an alarm is given, it is impossible to determine whether an intruding target is a specific type of target, and the alarm is often rechecked manually or by other means according to a video image.

In the prior art, when an alarm is rechecked according to a video image, an intrusion target is generally classified and identified based on the video image. However, when the camera shoots the region to be measured, the imaging quality of the image is poor due to different objective factors. And the analysis of the image with lower imaging quality can cause the accuracy of the video analysis result to be greatly reduced, so that the intrusion alarm information is inaccurate and needs to be manually checked again.

SUMMERY OF THE UTILITY MODEL

In view of this, the main object of the present application is to provide an intrusion identification system for improving the accuracy of the intrusion target identification and reducing the workload of manual checking of intrusion alarm.

In order to achieve the above object, embodiments of the present application are implemented as follows:

in a first aspect, an embodiment of the present application provides an intrusion identification system, where the intrusion identification system includes: the detection device is arranged in the intrusion detection area and is used for detecting the intrusion behavior in the intrusion detection area and the intrusion position when the intrusion behavior occurs; the image acquisition device comprises a first camera and a second camera and is used for being arranged in the intrusion detection area so as to acquire an image of the intrusion detection area and a detailed image when the intrusion behavior occurs; and the recognition processing device is respectively connected with the detection device and the image acquisition device and is used for receiving, analyzing and processing the detection data of the detection device and the image data of the image acquisition device and recognizing the type of the intrusion target.

In the embodiment of the application, set up detection device in the intrusion detection area, can survey intrusion detection area's intrusion behavior and take place intrusion behavior's position, discernment processing apparatus carries out the analysis to detection device's detection data to obtain the position to intrusion behavior and target, carry out accurate location to intrusion behavior and target. Set up image acquisition device in the intrusion detection area, wherein image acquisition device includes first camera and second camera, gathers the image of intrusion detection area and the detail image when the intrusion behavior takes place respectively, and wherein, the detail image is the discernment processing dress, according to the intrusion behavior and the invasion position of detection device accurate positioning, controls image acquisition device and carries out detail amplification, snapshot and tracking to the intrusion behavior to the detail image that obtains. Except that the realization carries out real-time control in to the defence area, discernment processing apparatus can gather the intrusion detection area image on a large scale through first camera, combine the second camera to gather the detail image and carry out the analysis together, carry out the analysis and identification to the invasion target type from different image pairs, the higher image identification result of output accuracy, the detection data that matches detection device collection again for output more accurate invasion alarm information reduces the artifical number of times of checking.

In one embodiment, the first camera and the second camera are fixed in the intrusion detection area, wherein the first camera is a gun camera and is used for acquiring images of the full range of the intrusion detection area; the second camera is a dome camera and is used for acquiring the detailed image.

In this embodiment, the first camera is a gun camera, and is intended to cover the entire intrusion detection area and obtain an image of the entire area including the intrusion detection area. The second camera is a dome camera, so that the second camera can freely adjust parameters such as focal length, direction and the like. Therefore, the intrusion behavior and the intrusion position can be subjected to detail amplification, snapshot and tracking according to the instruction of the identification processing device, so that a detailed image of the intrusion behavior, namely a detail image, is obtained, and the condition that the single image type is low in imaging quality and causes inaccurate identification results is avoided.

In one embodiment, the detection device comprises a plurality of MEMS vibration sensors, the plurality of MEMS vibration sensors are divided into at least two groups, each group of the MEMS vibration sensors are connected in series, each group of the MEMS vibration sensors is connected to the identification processing device, and each group of the MEMS vibration sensors is used for collecting the detection data.

In the embodiment of the application, the detection device adopts the MEMS vibration sensor to acquire detection data, so that the intrusion behavior and the intrusion target can be accurately positioned. The plurality of MEMS vibration sensors are divided into at least two groups, each group of MEMS vibration sensors are connected in series, and each group of MEMS vibration sensors are connected to the identification processing device, so that the data transmission can be kept at certain efficiency to a certain extent, and the structure is not excessively complicated.

In one embodiment, the intrusion identification system further comprises an auxiliary lighting device, wherein the auxiliary lighting device is connected with the identification processing device and is used for being arranged in the intrusion detection area, and the irradiation range of the auxiliary lighting device is the intrusion detection area.

In one embodiment, a relay module is arranged in the identification processing device, and the relay module is connected with the auxiliary lighting device and is used for driving the auxiliary lighting device based on the instruction of the identification processing device.

In this embodiment, intrusion identification system has still provided auxiliary lighting device, sets up at the intrusion detection area, auxiliary lighting device's irradiation range does the intrusion detection area carries out auxiliary lighting for image acquisition device's camera when low light or gather image information night, improves the imaging quality to improve the accuracy when intrusion identification system discerns the invasion target. Because the recognition processing device needs to control the auxiliary lighting device to carry out auxiliary lighting, the relay module is arranged in the recognition processing device, when the recognition processing device generates a vibration alarm intrusion signal, the relay module drives the auxiliary lighting to provide light supplement operation for the camera, so that the collected image has better imaging quality when the image acquisition device is not well illuminated or at night.

In one embodiment, the detection device in the intrusion identification system comprises a first communication module, wherein the first communication module is a serial communication module; the image acquisition device comprises a second communication module, and the second communication module is an Ethernet communication module; the identification processing device comprises a third communication module and a fourth communication module, wherein the third communication module is a serial port communication module, and the fourth communication module is an Ethernet communication module; the first communication module is in signal connection with the third communication module and is used for transmitting detection data acquired by the detection device to the identification processing device, and the second communication module is in signal connection with the fourth communication module and is used for transmitting image data acquired by the image acquisition device to the identification processing device.

In one embodiment, the identification processing apparatus includes: the image analysis module is connected with the image acquisition device and is used for processing the image of the intrusion detection area and outputting a structural analysis result; and the first microprocessor is connected with the image analysis module and the detection device and is used for receiving and processing the detection data and the structural analysis result to acquire a fusion processing result.

In the embodiment, a recognition processing device is provided for processing data of an image processing device and a detection device and outputting a result, wherein an image analysis module is used for processing image information of the image processing device and generating a structural analysis result to be sent to a first microprocessor, and the first microprocessor fuses and processes the structural analysis result and the detection data from the detection device and analyzes and outputs the fused processing result. Therefore, according to the output fusion processing result, related personnel can simultaneously acquire detailed information such as the position of intrusion, the type of the target and the like, check the intrusion target, and simultaneously assist the related personnel to rapidly draw a conclusion when the uncertain intrusion behavior of the system is rechecked, so that the rechecking efficiency is improved.

In an embodiment, the first microprocessor is connected to the image analysis module, and configured to send a control command to the image analysis module based on the detection data, and the image analysis module controls the image capturing device to adjust parameter settings.

In this embodiment, the image analysis module is connected to the first microprocessor through the first communication module, so that the image analysis module can receive a control command sent by the first microprocessor according to the detection data, thereby controlling the image acquisition device to adjust the parameter setting, and realizing that the image acquisition device acquires the detailed image with better imaging quality of the intrusion behavior and the intrusion position.

In one embodiment, the image analysis module includes: the image processor is used for identifying the type of the intrusion target in the image of the intrusion detection area; the second microprocessor is connected with the image processor and comprises a plurality of parallel processing channels, and the image processor is used for simultaneously processing the image of the intrusion detection area and the detail image acquired by the image acquisition device; the second microprocessor is respectively connected with the image acquisition device and the first microprocessor.

In the embodiment, the image processor is used for analyzing and identifying the image; the second microprocessor is provided with a plurality of parallel processing channels, so that the image processor can process a plurality of paths of image data at the same time, and start and schedule a plurality of channels of parallel processing threads as required, thereby improving the image analysis processing and recognition efficiency of the image analysis module. A serial port communication module and an Ethernet communication module are also arranged in the image analysis module, and the second microprocessor can be connected with the first microprocessor through the serial port communication module to realize data transmission; the second microprocessor can receive the image data collected by the image collecting device through the Ethernet communication module.

In one embodiment, the identification processing device is connected to the superior device, and is configured to send the identification result to the superior device.

In this embodiment, the identification processing apparatus may be connected to the ethernet through the fourth communication module, and is connected to the upper device through the ethernet, so as to send the processing identification result of the intrusion identification system to the upper device, so that the relevant person knows the processing identification result, and the relevant person can take corresponding measures according to the received information.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.

Fig. 1 is a block diagram of an intrusion identification system according to an embodiment of the present application;

fig. 2 is a schematic view of a connection structure of a detection device according to an embodiment of the present disclosure;

fig. 3 is a block diagram of a structure of an identification processing apparatus according to an embodiment of the present application;

fig. 4 is a block diagram of an auxiliary lighting device according to an embodiment of the present disclosure;

fig. 5 is a block diagram of a video analysis module according to an embodiment of the present disclosure.

Icon: an intrusion identification system 100; the recognition processing means 110; a first microprocessor 111; an image analysis module 112; a relay module 113; a third communication module 114; a fourth communication module 115; a power supply module 116; a detection device 120; a MEMS vibration sensor 121; an image acquisition device 130; a first camera 131; a second camera 132; an auxiliary lighting device 140; an LED auxiliary illuminating lamp 141; a second microprocessor 1121; an image processor 1122; a second ethernet communication module 1123; a second serial communication module 1124; a second power supply module 1125.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

MEMS vibration detection is used as a passive intrusion detection technology and is characterized by accurate positioning, low false alarm rate and good environmental adaptability, but the MEMS vibration detection cannot identify an intrusion target, so that manual alarm rechecking is needed according to videos to determine whether a specific type of intrusion target exists in an image. Therefore, in the prior art, a video image analysis technology is usually introduced to review videos.

However, in the prior art, the accuracy of the video analysis result depends on the video imaging quality, and the accuracy of the video analysis is greatly reduced due to poor imaging quality or low resolution of the video image, so that the overall use effect of the system is affected, and although the number of times of manual review can be reduced to a certain extent, the ideal effect is not achieved.

In conclusion, the existing intrusion identification system has the problem of low identification accuracy. Aiming at the problems in the prior art, the inventor of the present application provides an intrusion detection system through creative exploration and research, so as to solve the problems in the prior art.

Referring to fig. 1, an intrusion identification system 100 according to an embodiment of the present application is used for security protection of civil airports, law-of-law prisons, military key grounds, and the like. It is to be understood that the application sites of the intrusion identification system 100 listed herein are merely examples, and the application is not limited thereto. The intrusion identification system 100 can be arranged on the enclosure in the forms of a steel bar fence, a brick wall and the like, so that the intrusion behavior can be detected and identified. When people or animals generate intrusion behaviors such as trying to climb or cross, vibration is caused, furthermore, the system can detect the occurrence position of the intrusion behaviors, collect and identify images of the intrusion behaviors, judge whether the intrusion behaviors are specific intrusion types or not, generate an identification result and remind users of safety precaution.

In one embodiment, the intrusion identification system 100 includes an identification processing device 110, a detection device 120, and an image acquisition device 130.

And the detection device 120 is used for setting in an intrusion detection area and detecting the intrusion behavior in the intrusion detection area and the intrusion position when the intrusion behavior occurs.

In one embodiment, the detecting device 120 includes a plurality of MEMS vibration sensors 121, the plurality of MEMS vibration sensors 121 are divided into at least two groups, each group of MEMS vibration sensors 121 is connected in series, and each group of MEMS vibration sensors 121 is connected to the identification processing device 110, and each group of MEMS vibration sensors 121 is used for collecting the detection data.

In the present embodiment, referring to fig. 2, the detecting device 120 is composed of a plurality of MEMS vibration sensors 121. The MEMS vibration sensor 121 may be disposed on a perimeter in the form of a steel fence, a brick wall, or the like, for collecting vibration signals. Each MEMS vibration sensor 121 has a respective detectable range. Each MEMS vibration sensor is adapted to acquire a vibration signal within its respective detectable range.

At the beginning of laying the MEMS vibration sensors 121, a position parameter is set for each MEMS vibration sensor 121, and a correspondence table between each MEMS vibration sensor 121 and the position parameter is established, and the correspondence table may be preset in the identification processing device 110, so that after receiving the vibration signal transmitted by the MEMS vibration sensor 121, the identification processing device 110 may determine the position parameter of the MEMS vibration sensor 121 that detected the vibration signal according to the vibration signal and the correspondence table.

The MEMS vibration sensors 121 are connected in series, signal connection is achieved through serial ports, the MEMS vibration sensors are divided into two paths, the MEMS vibration sensors 121 at the opening end or the tail end of each group are connected with the identification processing device, and the two paths are respectively connected with the left end and the right end of the identification processing device. When any one of the MEMS vibration sensors 121 collects or receives a vibration signal, the MEMS vibration sensor 121 transmits signal data to the next MEMS vibration sensor 121 connected thereto, and when the MEMS vibration sensor 121 is connected to the recognition processing device 110, the MEMS vibration sensor 121 transmits the received signal data to the recognition processing device 110 through a serial port.

Image acquisition device 130, including first camera 131 and second camera 132 for set up at the intrusion detection area, with the image of gathering the intrusion detection area and the detail image when the invasion action takes place, for example, image acquisition device 130 can set up on the enclosure of forms such as steel bar rail, brick wall at the intrusion detection area, and image acquisition device 130's shooting scope can cover whole intrusion detection area. Here, the photographing range of the image capturing apparatus 130 may cover the entire intrusion detection area, which means that the photographing range of the first camera 131 and the photographing range of the second camera 132 may cover the entire intrusion detection area. It should be noted that both the shooting range of the single first camera 131 and the shooting range of the single second camera 132 may cover the entire intrusion detection area, or the shooting ranges of the plurality of first cameras 131 may be combined to cover the entire intrusion detection area or the shooting ranges of the plurality of second cameras 132 may be combined to cover the entire intrusion detection area, and the number of the first cameras 131 and the second cameras 132 is not limited in the present application. Of course, the image capturing device 130 may be disposed at other positions of the intrusion detection area as long as the shooting range thereof can cover the entire intrusion detection area.

In one embodiment, the image capturing device includes a first camera 131 and a second camera 132, the first camera 131 and the second camera 132 are fixed in the intrusion detection area, wherein the first camera 131 is a gun camera for obtaining a full-range image of the intrusion detection area; the second camera 132 is a dome camera for acquiring a detailed image of the intrusion behavior.

In this embodiment, the purpose of the first camera 131 is to realize full coverage of the intrusion detection area, and to realize real-time monitoring and recording of the intrusion detection area. Therefore, when the intrusion detection area is small, and when an image captured by one first camera 131 is capable of capturing an area of the intrusion detection area and has a good imaging quality, only one first camera 131 may be provided. When the scope is great, a first camera probably has the blind area, or when the shooting formation of image effect to far away position is unsatisfactory, can set up many first cameras 131 simultaneously and monitor the intrusion detection area, makes monitoring range non-blind area cover, acquires the different images of a plurality of intrusion detection area within ranges. Meanwhile, the gun type camera has the characteristics of high cost performance and high adaptability, can use day-night conversion, has good imaging quality in the daytime and at night, and also has good imaging quality on dynamic images. Besides, the signal-to-noise ratio is low. In this embodiment, therefore, a gun camera is used as the first camera 131.

In this embodiment, the second camera 132 is used to collect the detailed image when the intrusion action occurs, so the second camera 132 takes a picture when the intrusion action starts to occur, and the shooting range needs to include the whole range of the intrusion detection area, in addition, the camera parameters such as the shooting angle and the focal length need to be adjusted, so that the camera can amplify, capture and track the details of the shot target, and obtain the image with high imaging quality for the intrusion action and the position. Therefore, in the present embodiment, a dome camera is selected as the second camera 132, so that the second camera can rotate, select any angle for shooting, and control the focal length, thereby realizing zooming in the distant view and capturing the target.

In an embodiment, the image acquisition device may further include a third camera, where the third camera is a camera capable of performing infrared detection, so as to reduce the problem that the first camera and the second camera may have low imaging quality during night shooting, which may result in a reduction in recognition accuracy; and when the first camera and the second camera cannot shoot and identify the target with camouflage or other abnormal reasons such as fog, dense smoke shielding and the like, the infrared camera is used for shooting and identifying the intrusion behavior, so that the infrared detection image is added, the identification processing device 110 can be assisted to analyze the type of the intrusion target, and the accuracy of the identification result is improved.

In one embodiment, the detection device in the intrusion identification system comprises a first communication module, wherein the first communication module is a serial communication module; the image acquisition device comprises a second communication module, and the second communication module is an Ethernet communication module; the identification processing device comprises a third communication module 114 and a fourth communication module 115, wherein the third communication module 114 is a serial communication module, and the fourth communication module 115 is an ethernet communication module; the first communication module is in signal connection with the third communication module 114, and is configured to transmit the detection data acquired by the detection device to the identification processing device, and the second communication module is in signal connection with the fourth communication module 115, and is configured to transmit the image data acquired by the image acquisition device 130 to the identification processing device 110.

In this embodiment, each MEMS vibration sensor 121 in the detection device 120 is connected via a serial port through the first communication module to implement data transmission, and correspondingly, data transmission between the detection device 120 and the recognition processing device 110 is also implemented via serial ports of the first communication module and the third communication module 114. The serial port transmission may be performed through RS485, in addition, the CAN bus may be used for transmission, or the CAN bus may be converted into the CAN bus through RS485 or the CAN bus may be converted into RS485, and here, the specific form of signal transmission is not limited. The image capturing device 130 and the recognition processing device 110 are connected via the fourth communication module 115 and the second communication module via ethernet, and the image capturing device 130 may transmit the captured image data to the recognition processing device 110 via ethernet, or receive the control signal of the recognition processing device 110 via ethernet. Accordingly, the identification processing device 110 may receive the detection data of the detection device 120 through a serial port, and may receive the image data of the image capturing device 130 through an ethernet.

And the identification processing device 110 is respectively connected with the detection device 120 and the image acquisition device 130, and is used for receiving, analyzing and processing the detection data of the detection device 120 and the image data of the image acquisition device 130, and identifying the type of the intrusion object.

In this embodiment, the detection device 120 collects the detection data of the intrusion behavior and the intrusion position, and the recognition processing device 110 performs analysis processing to determine the intrusion position, thereby realizing accurate positioning. The first camera 131 of the image acquisition device 130 acquires a real-time image of an intrusion detection area, and the second camera 132 acquires a detail image for performing detail amplification, capturing and tracking on an intrusion target when an intrusion behavior occurs. The recognition processing device 110 can process and analyze the detection data of the detection device 120 and the image data of the image acquisition device 130 at the same time, so as to check the detection data of the detection device 120 and recognize and classify the type of the intrusion object. In addition, the image data includes image data of the first camera 131 and the second camera 132, and the recognition is performed by different image data, thereby improving the accuracy of the recognition result.

In one embodiment, referring to fig. 3, the recognition processing device includes: the image analysis module 112, the image analysis module 112 is used for processing the image of the intrusion detection area and outputting the structural analysis result through the ethernet and the image acquisition device 130; the first microprocessor 111 is connected with the image analysis module 112, and the first microprocessor 111 is connected with the detection device 120 and is used for receiving and processing the detection data and the structured analysis result to obtain a fusion processing result.

In this embodiment, the recognition processing device 110 may be an electronic device capable of performing data processing, image processing and communication connection, and may be, for example, a computer, a single chip, a fusion processing host, or other terminal devices.

In this embodiment, the first microprocessor 111 receives and analyzes the detection data collected by the detection device through the serial port, so as to determine the intrusion position where the intrusion behavior occurs. The image analysis module 112 and the image capture device 130 are connected via an ethernet, and the image analysis module 112 may directly obtain image data of the image capture device 130, where the image data includes data of the first camera 131 and the second camera 132. Further, the image data of the third camera may also be directly acquired. The image acquisition device can analyze the received multi-channel images and output video structural analysis results, including information such as invasion target types and confidence probabilities.

In this embodiment, the first microprocessor 111 is connected to the image analysis module 112, receives the video structural analysis result from the image analysis module 112, and combines the detection data of the detection device 120 to process the video structural analysis result, so as to obtain a fusion processing result after processing, and generate an alarm signal including the position information.

In one embodiment, the first microprocessor 111 is connected to the image analysis module 112, and is configured to send a control command to the image analysis module based on the detection data, and the image analysis module controls the image capturing device to adjust the parameter setting.

In this embodiment, the first microprocessor 111 and the image analysis module 112 are connected via a serial port through the third communication module 114, and the image analysis module 112 establishes a communication connection with the image capturing device 130 via an ethernet, specifically, the first microprocessor 111 is indirectly connected with the image capturing device 130. When receiving the detection data of the detection device 120, the first microprocessor 111 analyzes the detection data, and when determining that there is an intrusion, sends a control command to the image analysis module 112 through the serial port, so that the image analysis module controls the second camera 132 of the image acquisition device 130 to adjust the focal length or other parameters, and shoots the intrusion position to obtain a detail image.

In this embodiment, the recognition processing device 110 further includes a power module 116, and the power module 116 can provide power to the first microprocessor 111, the image analysis module 112, the third communication module 114, and the fourth communication module 115 of the recognition processing device 110.

In one embodiment, the intrusion identification system further includes an auxiliary lighting device 140, the auxiliary lighting device is connected to the identification processing device 110 and configured to be disposed in the intrusion detection area, and the illumination range of the auxiliary lighting device is the intrusion detection area.

In one embodiment, a relay module 113 is disposed in the recognition processing device, the relay module 113 is connected to the auxiliary lighting device 140, and the relay module 113 is configured to drive the auxiliary lighting device 140 based on the instruction of the recognition processing device 110.

Referring to fig. 3 and 4, in the present embodiment, an auxiliary lighting device 140 is provided, and the auxiliary lighting device 140 is composed of a plurality of LED auxiliary lighting lamps 141, so that the intrusion detection area can be within the irradiation range. The identification processing device 110 is connected to the auxiliary lighting device 140, and the relay module 113 in the identification processing device 110 is connected to the auxiliary lighting device. When the recognition processing device 110 receives the signal that the detection device detects the intrusion behavior, the recognition processing device 110 sends a control instruction to the relay module 113, the relay module 113 drives the auxiliary lighting device, and the auxiliary lighting device 140 supplements light for the operation of the camera, so that the video imaging quality of the camera at night or under low illumination is improved. After the intrusion recognition or alarm processing is completed, the relay module 113 controls the auxiliary lighting device 140 to be automatically turned off, so as to reduce energy consumption.

In this embodiment, the detection device 120 may further include a plurality of illumination sensors disposed in the intrusion detection area, where the plurality of illumination sensors are configured to detect an illumination intensity of the intrusion detection area. Specifically, the identification processing device 110 may determine the illumination condition of the intrusion position according to the acquired detection data and the illumination intensity of the detection device 120. A preset value is set for the illumination intensity, when the illumination intensity is greater than the preset value, the illumination of the position is considered to be good, and the relay module 113 does not need to drive the auxiliary lighting device 140 to supplement light; on the contrary, when the illumination intensity is smaller than the preset value, it indicates that the illumination is insufficient at night or at the position, the relay module drives the auxiliary lighting device 140 to supplement light, and further, the relay module 113 only drives the LED auxiliary lighting lamp of the auxiliary lighting device 140 near the invading position to be turned on, so as to control energy consumption.

In an embodiment, referring to fig. 5, the image analysis module includes: an image processor 1122 for identifying the type of intrusion object in the image of the intrusion detection area; a second microprocessor 1121, connected to the image processor 1122, including a plurality of parallel processing channels, for enabling the image processor 1122 to process the image of the intrusion detection area and the detail image of the image capturing device 130 at the same time; the second microprocessor 1121 is connected to the image capturing device 130 through an ethernet, and the second microprocessor 1121 is connected to the first microprocessor 111 through a serial port.

In this embodiment, the image analysis module 112 further includes a second ethernet communication module 1123 and a second serial communication module 1124. The second microprocessor 1121 can be connected to the image capturing device 130 through the second ethernet communication module 1123 to implement data transmission; the second microprocessor 1121 can be connected to the first microprocessor 111 through the second serial communication module 1124, so as to implement data transmission with the first microprocessor 111.

In this embodiment, the second microprocessor 1121 has a plurality of parallel processing channels, and can start and schedule a multi-channel parallel processing thread after acquiring multiple paths of video data, so that the image analysis module 112 can process image data received from different cameras at the same time. The image processor 1122 may be a video analysis processor using a neural network, and may illustratively be an embedded neural network processor NPU. The method is used for processing the received video by adopting a neural network CNN image classification recognition algorithm to obtain an analysis result. Finally, the second microprocessor 1121 outputs the analysis result to the first microprocessor 111 through the serial port.

In this embodiment, the image analysis module 112 further includes a second power module 1125 for providing power to the image analysis module 112.

In one embodiment, the identification processing device 110 is connected to the upper level device, and is configured to send the identification result to the upper level device.

In this embodiment, the identification processing apparatus 110 may be connected to the ethernet through the fourth communication module, so as to implement connection with a higher-level device through the ethernet, perform data transmission with the higher-level device, send an identification result or a fusion processing result to the higher-level device, and simultaneously send an image, alarm information, and the like containing position information to the higher-level device, so that relevant personnel check the video and timely process relevant alarm information or intrusion behavior.

The above embodiments are merely examples of the present application and are not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. An intrusion identification system, comprising:

the detection device is arranged in the intrusion detection area and is used for detecting the intrusion behavior in the intrusion detection area and the intrusion position when the intrusion behavior occurs;

the image acquisition device comprises a first camera and a second camera and is used for being arranged in the intrusion detection area so as to acquire an image of the intrusion detection area and a detailed image when the intrusion behavior occurs;

and the recognition processing device is respectively connected with the detection device and the image acquisition device and is used for receiving, analyzing and processing the detection data of the detection device and the image data of the image acquisition device and recognizing the type of the intrusion target.

2. The intrusion identification system according to claim 1, wherein the first camera and the second camera are fixed in the intrusion detection area, wherein the first camera is a gun camera for acquiring an image of the full range of the intrusion detection area; the second camera is a dome camera and is used for acquiring a detailed image when the intrusion behavior occurs.

3. The intrusion identification system according to claim 1, wherein the detection device comprises: the MEMS vibration sensors are divided into at least two groups, each group of the MEMS vibration sensors are connected in series, each group of the MEMS vibration sensors are connected to the identification processing device, and each group of the MEMS vibration sensors are used for collecting the detection data.

4. The intrusion identification system of claim 1, further comprising: auxiliary lighting device, auxiliary lighting device connects recognition processing apparatus for set up in the intrusion detection area, auxiliary lighting device's irradiation range does the intrusion detection area.

5. The intrusion recognition system of claim 4, wherein the auxiliary lighting device is connected to the recognition processing device and comprises: and a relay module is arranged in the identification processing device, is connected with the auxiliary lighting device and is used for driving the auxiliary lighting device based on the instruction of the identification processing device.

6. The intrusion identification system of claim 1, further comprising: the detection device comprises a first communication module which is a serial communication module;

the image acquisition device comprises a second communication module, and the second communication module is an Ethernet communication module;

the identification processing device comprises a third communication module and a fourth communication module, wherein the third communication module is a serial port communication module, and the fourth communication module is an Ethernet communication module;

the first communication module is connected with the third communication module and used for transmitting the detection data acquired by the detection device to the identification processing device, and the second communication module is connected with the fourth communication module and used for transmitting the image data acquired by the image acquisition device to the identification processing device.

7. The intrusion recognition system of claim 1, wherein the recognition processing device comprises:

the image analysis module is connected with the image acquisition device and is used for processing the image of the intrusion detection area and outputting a structural analysis result;

and the first microprocessor is connected with the image analysis module and the detection device and is used for receiving and processing the detection data and the structural analysis result to acquire a fusion processing result.

8. The intrusion identification system according to claim 7, wherein the first microprocessor is connected to the image analysis module, and is configured to send a control command to the image analysis module based on the detection data, and the image analysis module controls the image capturing device to adjust parameter settings.

9. The intrusion recognition system of claim 7, wherein the image analysis module comprises: the image processor is used for identifying the type of the intrusion target in the image of the intrusion detection area;

the second microprocessor is connected with the image processor and comprises a plurality of parallel processing channels, and the image processor is used for simultaneously processing the image of the intrusion detection area and the detail image acquired by the image acquisition device;

the second microprocessor is respectively connected with the image acquisition device and the first microprocessor.

10. The intrusion identification system according to claim 1, wherein the identification processing means is connected to a superior device for transmitting the identification result to the superior device.