Smart community video information collection methods and devices supporting 5G communication

Abstract

This invention pertains to the field of smart community security, and particularly relates to a method and apparatus for collecting video information in smart communities that supports 5G communication. The information collection device in the method is connected between the smart community switch and the community monitoring center, or connected to the smart community switch itself. Specifically, it is configured with a traffic exchange and collection module to exchange and forward traffic on the uplink and downlink serial lines, or to actively pull video streams from cameras. It supports serial or direct access for information collection, thus solving the problems of difficult data interface coordination and network line congestion or delays in the smart community video information collection process. This facilitates its promotion and deployment in complex smart community scenarios.

Description

Technical Field

[0001] This invention relates to the field of smart community security, and in particular to a method and apparatus for collecting video information in smart communities that supports 5G communication. Background Technology

[0002] With the construction of the social security and prevention system, in order to strengthen the security and prevention work of smart communities, it is necessary to identify, collect, and aggregate data on people and vehicles within the community to provide data support for public safety risk early warning and achieve global big data analysis and control of people and vehicles throughout the district. Currently, video information collection in smart communities generally takes the following two forms:

[0003] The first approach involves the smart community monitoring center collecting video information centrally and reporting it through a platform interface. However, existing smart community video surveillance systems, access control systems, and vehicle gate systems come from a wide variety of manufacturers and versions. Moreover, monitoring centers generally lack information collection and reporting interfaces, requiring system modifications and making it difficult to coordinate with system manufacturers for development.

[0004] The second method involves a dedicated acquisition device actively retrieving and reporting video information from cameras. However, actively retrieving the camera video stream essentially splits the video data into two parts: one reported to the monitoring center and the other to the dedicated acquisition device. This increases video network bandwidth and may affect camera performance and stability. Furthermore, existing dedicated acquisition devices generally only support wired networks or 4G wireless networks for reporting video image information, and do not support 5G wireless networks. This can cause congestion or delays when the amount of video data is large.

[0005] Therefore, both of the existing methods are difficult to implement video information collection simply and efficiently. Summary of the Invention

[0006] This invention provides a method, apparatus, device, and storage medium for collecting video information in smart communities that supports 5G communication. By configuring a traffic exchange and collection module to exchange and forward traffic between uplink and downlink serial lines, or to actively pull video streams from cameras, it supports serial access or direct access for information collection. This solves the problems of difficult coordination of reporting data interfaces and blocked or delayed reporting network lines in the process of collecting video information in smart communities, and is conducive to promotion and deployment in complex smart community scenarios.

[0007] To solve the above-mentioned technical problems, the present invention:

[0008] Firstly, a method for collecting video information in smart communities that supports 5G communication is provided, applied to an information collection device. This method includes:

[0009] When the information collection device is connected between the smart community switch and the community monitoring center, the traffic exchange and collection module in the information collection device performs traffic exchange and forwarding on the uplink and downlink serial lines, mirrors the traffic, and forwards it to the video traffic processing module through the mirror port; when the information collection device is connected to the smart community switch, the traffic exchange and collection module in the information collection device actively pulls the camera video stream and forwards it to the video traffic processing module through the mirror port.

[0010] The video traffic processing module in the information acquisition device identifies network video traffic, reconstructs the video stream and extracts frames into images, calls the AI ​​analysis module to perform target recognition on the images, extracts the license plate number if the image is identified as a vehicle, and saves the image after deduplication at regular intervals if the image is identified as a human.

[0011] Video information is reported to the smart community integrated management and control platform via wired lines or 5G wireless transmission modules in the information collection device.

[0012] In some implementations of the first aspect, the traffic exchange and acquisition module performs traffic exchange and forwarding on the uplink and downlink serial lines, and performs traffic mirroring, including:

[0013] The traffic exchange and acquisition module is connected in series between the community monitoring center and the switch connecting the cameras, creating a bridge between the two network ports, and using the bridge driver to forward traffic between the two network ports.

[0014] Add a traffic hook to the bridge driver to copy and forward traffic to the mirror port.

[0015] In some implementations of the first aspect, the video traffic processing module in the information acquisition device identifies network video traffic and performs video stream reconstruction and frame extraction into images, including:

[0016] The video traffic processing module identifies network traffic, including streaming media protocols such as RTSP and RTMP, reassembles data packets according to the session, and then uses a dedicated VPU video decoder to accelerate the decoding and extract frames into images.

[0017] In some implementations of the first aspect, after extracting the license plate number upon identification as a vehicle, the method also includes:

[0018] The image is compared with the owner's license plate information database to obtain relevant vehicle information. If no match is found, the vehicle is labeled as an outside vehicle.

[0019] In some implementations of the first aspect, after recognizing a human face, the method also includes:

[0020] The system compares images of residents with those in the property owner's personnel image database to obtain their information. If no match is found, the person is labeled as an outsider.

[0021] Secondly, a smart community video information acquisition device supporting 5G communication is provided. The device includes a traffic exchange and acquisition module, a video traffic processing module, an AI analysis module, and a 5G wireless transmission module.

[0022] When the information collection device is connected between the smart community switch and the community monitoring center, the traffic exchange and collection module in the information collection device performs traffic exchange and forwarding on the uplink and downlink serial lines, mirrors the traffic, and forwards it to the video traffic processing module through the mirror port; when the information collection device is connected to the smart community switch, the traffic exchange and collection module in the information collection device actively pulls the camera video stream and forwards it to the video traffic processing module through the mirror port.

[0023] The video traffic processing module is used to identify network video traffic and reassemble the video stream by extracting frames into images.

[0024] The AI ​​analysis module is used for target recognition in images. If the image is identified as a vehicle, the license plate number is extracted. If it is identified as a human image, the image is saved after periodic deduplication.

[0025] Video information is reported to the smart community integrated management and control platform via wired lines or 5G wireless transmission modules in the information collection device.

[0026] In some implementations of the second aspect, the traffic exchange and acquisition module is connected in series between the community monitoring center and the switch connecting the camera, creating a bridge between the two network ports, and the traffic forwarding between the two network ports is achieved through the bridge driver;

[0027] Add a traffic hook to the bridge driver to copy and forward traffic to the mirror port.

[0028] In some implementations of the second aspect, the video traffic processing module identifies network traffic, reassembles data packets according to the session, and accelerates the decoding of the reassembled video into images by using a dedicated VPU video decoder. The identification protocols include streaming media protocols such as RTSP and RTMP.

[0029] Thirdly, an electronic device is provided, the device comprising: a processor and a memory storing computer program instructions;

[0030] The processor implements the first aspect and the methods of implementing the first aspect when executing computer program instructions.

[0031] Fourthly, a computer storage medium is provided, on which computer program instructions are stored, and when the computer program instructions are executed by a processor, the methods of the first aspect and the implementation mode of the first aspect are implemented.

[0032] This invention provides a method, apparatus, device, and storage medium for collecting video information in smart communities that supports 5G communication. By configuring a traffic exchange and collection module to exchange and forward traffic between uplink and downlink serial lines, or by actively pulling video streams from cameras, information is collected through serial or direct access methods. This solves the problems of difficult coordination of reporting data interfaces and blocked or delayed reporting network lines in the process of collecting video information in smart communities, which is conducive to promotion and deployment in complex smart community scenarios. Attached Figure Description

[0033] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments of the present invention will be briefly introduced below. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0034] Figure 1 This is a flowchart illustrating a smart community video information collection method supporting 5G communication provided by an embodiment of the present invention;

[0035] Figure 2 This is a flowchart illustrating a serial access mode provided in an embodiment of the present invention;

[0036] Figure 3 This is a flowchart illustrating a direct access mode provided in an embodiment of the present invention;

[0037] Figure 4 This is a schematic diagram of a serial access deployment provided by an embodiment of the present invention;

[0038] Figure 5 This is a schematic diagram of a direct access deployment provided by an embodiment of the present invention;

[0039] Figure 6 This is an internal structural diagram of a smart community video information acquisition device supporting 5G communication provided in an embodiment of the present invention;

[0040] Figure 7 This is a logic diagram of a traffic exchange and acquisition module provided in an embodiment of the present invention;

[0041] Figure 8 This is a schematic diagram of the structure of a smart community video information acquisition device supporting 5G communication provided in an embodiment of the present invention;

[0042] Figure 9 This is a structural diagram of the hardware architecture of a computing device provided in an embodiment of the present invention. Detailed Implementation

[0043] The features and exemplary embodiments of various aspects of the present invention will now be described in detail. To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only configured to explain the present invention and are not configured to limit the present invention. For those skilled in the art, the present invention can be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the invention.

[0044] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes said element.

[0045] With the construction of the social security and prevention system, in order to strengthen the security and prevention work of smart communities, it is necessary to identify, collect, and aggregate data on people and vehicles within the community to provide data support for public safety risk early warning and achieve global big data analysis and control of people and vehicles throughout the district. Currently, video information collection in smart communities generally takes the following two forms:

[0046] The first approach involves the smart community monitoring center collecting video information centrally and reporting it through a platform interface. However, existing smart community video surveillance systems, access control systems, and vehicle gate systems come from a wide variety of manufacturers and versions. Moreover, monitoring centers generally lack information collection and reporting interfaces, requiring system modifications and making it difficult to coordinate with system manufacturers for development.

[0047] The second method involves a dedicated acquisition device actively retrieving and reporting video information from cameras. However, actively retrieving the camera video stream essentially splits the video data into two parts: one reported to the monitoring center and the other to the dedicated acquisition device. This increases video network bandwidth and may affect camera performance and stability. Furthermore, existing dedicated acquisition devices generally only support wired networks or 4G wireless networks for reporting video image information, and do not support 5G wireless networks. This can cause congestion or delays when the amount of video data is large.

[0048] Therefore, both of the existing methods are difficult to implement video information collection simply and efficiently.

[0049] The technical solutions provided by the embodiments of the present invention will now be described with reference to the accompanying drawings.

[0050] Figure 1 This is a flowchart illustrating a smart community video information collection method supporting 5G communication provided by an embodiment of the present invention. Figure 2 This is a flowchart illustrating a serial access mode provided in an embodiment of the present invention. Figure 3 This is a flowchart illustrating a direct access mode provided in an embodiment of the present invention. Figure 4 This is a schematic diagram of a serial access deployment provided by an embodiment of the present invention. Figure 5 This is a schematic diagram of a direct access deployment provided by an embodiment of the present invention. Figure 6 This is an internal structural diagram of a smart community video information acquisition device supporting 5G communication provided in an embodiment of the present invention. Figure 7 This is a logic diagram of a traffic exchange and acquisition module provided in an embodiment of the present invention;

[0051] Combination Figure 1-7 The smart community video information collection method that supports 5G communication may include:

[0052] S101: When the information collection device is connected between the smart community switch and the community monitoring center, the traffic exchange and collection module in the information collection device performs traffic exchange and forwarding on the uplink and downlink serial lines, mirrors the traffic, and forwards it to the video traffic processing module through the mirror port; when the information collection device is connected to the smart community switch, the traffic exchange and collection module in the information collection device actively pulls the camera video stream and forwards it to the video traffic processing module through the mirror port.

[0053] S102: The video traffic processing module in the information acquisition device identifies the network video traffic, reassembles the video stream and extracts frames into images, calls the AI ​​analysis module to perform target recognition on the images, extracts the license plate number if the image is identified as a vehicle, and saves the image after deduplication at regular intervals if the image is identified as a human face.

[0054] S103: Video information is reported to the smart community integrated management and control platform based on the wired line or 5G wireless transmission module in the information collection device.

[0055] In some embodiments, the traffic exchange and acquisition module performs traffic exchange and forwarding on the uplink and downlink serial lines, and performs traffic mirroring, including:

[0056] The traffic exchange and acquisition module is connected in series between the community monitoring center and the switch connecting the cameras, creating a bridge between the two network ports, and using the bridge driver to forward traffic between the two network ports.

[0057] Add a traffic hook to the bridge driver to copy and forward traffic to the mirror port.

[0058] In some embodiments, the video traffic processing module in the information acquisition device identifies network video traffic and performs video stream reconstruction and frame extraction into images, including:

[0059] The video traffic processing module identifies network traffic, including streaming media protocols such as RTSP and RTMP, reassembles data packets according to the session, and then uses a dedicated VPU video decoder to accelerate the decoding and extract frames into images.

[0060] In some embodiments, after extracting the license plate number upon identification as a vehicle, the method further includes:

[0061] The image is compared with the owner's license plate information database to obtain relevant vehicle information. If no match is found, the vehicle is labeled as an outside vehicle.

[0062] In some embodiments, after recognizing a human image, the method further includes:

[0063] The system compares images of residents with those in the property owner's personnel image database to obtain their information. If no match is found, the person is labeled as an outsider.

[0064] In a specific embodiment, such as Figure 2 and Figure 4 As shown in the serial access mode, this device is serially connected between the smart community switch and the community monitoring center. The traffic exchange and acquisition module exchanges and forwards traffic on the uplink and downlink serial lines. Without affecting the original network communication, the traffic is mirrored and forwarded to the video traffic processing module through the mirror port. The video traffic processing module then identifies the network video traffic, reassembles the video stream, extracts frames into images, and calls the AI ​​analysis module for target recognition. If the target is identified as a vehicle, the license plate number is extracted. If the target is identified as a human image, it is saved after deduplication at regular intervals. Finally, the video information data is reported to the smart community integrated management and control platform via wired line or 5G wireless.

[0065] In a specific embodiment, such as Figure 3 and Figure 5In the direct access mode shown, this device is directly connected to the smart community switch. The traffic exchange and acquisition module actively pulls the camera video stream and forwards it to the video traffic processing module through the mirror port. The video traffic processing module then identifies the network video traffic, reassembles the video stream, extracts frames into images, and calls the AI ​​analysis module to perform target recognition. If the target is identified as a vehicle, the license plate number is extracted. If the target is identified as a human image, it is saved after deduplication at regular intervals. Finally, the video information data is reported to the smart community integrated management and control platform via wired line or 5G wireless.

[0066] Figure 6 This is an internal structural diagram of a device provided in an embodiment of the present invention. The smart community video information acquisition device supporting 5G communication includes a main chassis, a power supply module, a traffic exchange and acquisition module, a video traffic processing module, an AI analysis module, and a wireless internet access module.

[0067] Power module:

[0068] The power module is powered by the traffic exchange and acquisition module and the video traffic processing module via a power cord. The power interface of the power module is exposed through the chassis opening for power connection.

[0069] Traffic exchange and acquisition module:

[0070] By connecting a switch between the community monitoring center and the camera, a bridge is created between the two network ports. The bridge driver then forwards traffic between the two ports. A traffic hook is added to the bridge driver to copy and forward the traffic to the mirror port. This achieves network traffic mirroring without affecting normal communication, and the copied video traffic is forwarded to the video traffic processing module through the mirror port.

[0071] Video traffic processing module:

[0072] By identifying network traffic and protocols including streaming media protocols such as RTSP and RTMP, data packets are reassembled according to the session. The reassembled video is then accelerated and decoded into images using a dedicated VPU video decoder. Finally, an AI analysis module is called to perform tasks such as human and vehicle recognition, license plate recognition, and personnel image comparison.

[0073] AI Analysis Module:

[0074] The NPU processor enables image recognition, face comparison, vehicle recognition, and license plate recognition, and returns relevant analysis results to the video traffic processing module for information reporting.

[0075] Wireless Internet module:

[0076] The wireless internet module is used to report data via 5G wireless internet when there is no wired network connection. The antenna interface is exposed through the chassis opening to connect the antenna and increase signal strength.

[0077] and Figure 1 The flowchart shown corresponds to the smart community video information collection method supporting 5G communication. Figure 8 It also provides a smart community video information acquisition device that supports 5G communication, such as Figure 8 As shown, the acquisition device may include a traffic exchange acquisition module 801, a video traffic processing module 802, an AI analysis module 803, and a 5G wireless transmission module 804.

[0078] When the information collection device is connected between the smart community switch and the community monitoring center, the traffic exchange and collection module 801 in the information collection device performs traffic exchange and forwarding on the uplink and downlink serial lines, mirrors the traffic, and forwards it to the video traffic processing module 802 through the mirror port; when the information collection device is connected to the smart community switch, the traffic exchange and collection module 801 in the information collection device actively pulls the camera video stream and forwards it to the video traffic processing module 802 through the mirror port.

[0079] The video traffic processing module 802 is used to identify network video traffic and reconstruct the video stream by extracting frames into images.

[0080] The AI ​​analysis module 803 is used for target recognition in images. If the image is identified as a vehicle, the license plate number is extracted. If the image is identified as a human face, it is saved after periodic deduplication.

[0081] The video information is reported to the smart community integrated management and control platform based on the wired line or 5G wireless transmission module 804 in the information collection device.

[0082] In some embodiments, the traffic exchange and acquisition module 801 is connected in series between the community monitoring center and the switch connecting the camera to create a bridge between the two network ports and realize the forwarding of traffic between the two network ports through the bridge driver.

[0083] Add a traffic hook to the bridge driver to copy and forward traffic to the mirror port.

[0084] In some embodiments, the video traffic processing module 802 identifies network traffic, reassembles data packets according to the session, and accelerates the decoding of the reassembled video into images by using a dedicated VPU video decoder. The identified protocols include streaming media protocols such as RTSP and RTMP.

[0085] In some embodiments, after the license plate number is extracted upon identification as a vehicle, the AI ​​analysis module 803 is further used to compare the image with the owner's license plate information database to obtain relevant vehicle information, and to label vehicles that do not match as external vehicles.

[0086] In some embodiments, after recognizing a human face, the AI ​​analysis module 803 is also used to compare it with the owner's personnel image library to obtain personnel information, and to label those that do not match as outsiders.

[0087] Figure 9 This is a structural diagram of the hardware architecture of a computing device provided in an embodiment of the present invention. For example... Figure 9 As shown, the computing device 900 includes an input interface 901, a central processing unit 902, a memory 903, and an output interface 904. The input interface 901, central processing unit 902, memory 903, and output interface 904 are interconnected via a bus 910.

[0088] In other words, Figure 9 The computing device shown can also be implemented as a device for a smart community video information acquisition method supporting 5G communication. The device may include: a processor and a memory storing computer-executable instructions; when the processor executes the computer-executable instructions, it can implement the smart community video information acquisition method supporting 5G communication provided in the embodiments of the present invention.

[0089] This invention also provides a computer-readable storage medium storing computer program instructions; when executed by a processor, these computer program instructions implement the smart community video information acquisition method supporting 5G communication provided in this invention.

[0090] It should be clarified that the present invention is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present invention is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of the present invention.

[0091] The functional blocks shown in the above-described structural diagram can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, they can be, for example, electronic circuits, application-specific integrated circuits (ASICs), appropriate firmware, plug-ins, function cards, etc. When implemented in software, the elements of this invention are programs or code segments used to perform the required tasks. Programs or code segments can be stored on a machine-readable medium or transmitted over a transmission medium or communication link via data signals carried in a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, read-only memory (ROM), flash memory, erasable read-only memory (EROM), floppy disks, compact disc read-only memory (CD-ROM), optical disks, hard disks, fiber optic media, radio frequency (RF) links, etc. Code segments can be downloaded via computer networks such as the Internet, intranets, etc.

[0092] It should also be noted that the exemplary embodiments mentioned in this invention describe methods or systems based on a series of steps or apparatus. However, this invention is not limited to the order of the steps described above; that is, the steps can be performed in the order mentioned in the embodiments, or in a different order, or several steps can be performed simultaneously.

[0093] The aspects of this disclosure have been described above with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It should be understood that each block in the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that these instructions, executable via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions / actions specified in one or more blocks of the flowchart illustrations and / or block diagrams. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field-programmable logic circuit. It is also understood that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can also be implemented by special-purpose hardware performing the specified functions or actions, or can be implemented by a combination of special-purpose hardware and computer instructions.

[0094] The above description is merely a specific embodiment of the present invention. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, modules, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. It should be understood that the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the protection scope of the present invention.

Claims

1. A method for collecting community mirror traffic information supporting 5G communication, applied to an information collection device, characterized in that, The method includes: When the information collection device is connected between the smart community switch and the community monitoring center, the traffic exchange and collection module in the information collection device performs traffic exchange and forwarding on the uplink and downlink serial lines, mirrors the traffic, and forwards it to the video traffic processing module through the mirror port; when the information collection device is connected to the smart community switch, the traffic exchange and collection module in the information collection device actively pulls the camera video stream and forwards it to the video traffic processing module through the mirror port. The video traffic processing module in the information acquisition device identifies network video traffic, reconstructs the video stream and extracts frames into images, calls the AI ​​analysis module to perform target recognition on the images, extracts the license plate number if the image is identified as a vehicle, and saves the image after deduplication at regular intervals if the image is identified as a human. Video information is reported to the smart community integrated management and control platform based on the wired lines or 5G wireless transmission modules in the information collection device. The traffic exchange and acquisition module performs traffic exchange and forwarding on the uplink and downlink serial lines, and performs traffic mirroring, including: The traffic exchange and acquisition module is connected in series between the community monitoring center and the switch connecting the cameras, creating a bridge between the two network ports, and using the bridge driver to forward traffic between the two network ports. Add a traffic hook to the bridge driver to copy and forward traffic to the mirror port.

2. The information collection method according to claim 1, characterized in that, The video traffic processing module in the information acquisition device identifies network video traffic and performs video stream reconstruction and frame extraction into images, including: The video traffic processing module identifies network traffic, including protocols such as RTSP and RTMP streaming media protocols, reassembles data packets according to the session, and then uses a dedicated VPU video decoder to accelerate the decoding and extract frames into images.

3. The information collection method according to claim 1, characterized in that, After identifying a vehicle and extracting its license plate number, the method further includes: The image is compared with the owner's license plate information database to obtain relevant vehicle information. If no match is found, the vehicle is labeled as an outside vehicle.

4. The information collection method according to claim 1, characterized in that, After recognizing a human face, the method further includes: The system compares images of residents with those in the property owner's personnel image database to obtain their information. If no match is found, the person is labeled as an outsider.

5. A community mirror traffic information collection device supporting 5G communication, characterized in that, The device includes a traffic exchange and acquisition module, a video traffic processing module, an AI analysis module, and a 5G wireless transmission module. When the information collection device is connected between the smart community switch and the community monitoring center, the traffic exchange and collection module in the information collection device performs traffic exchange and forwarding on the uplink and downlink serial lines, mirrors and copies the traffic, and forwards it to the video traffic processing module through the mirror port. When the information collection device is connected to the smart community switch, the traffic exchange and collection module in the information collection device actively pulls the camera video stream and forwards it to the video traffic processing module through the mirror port. The video traffic processing module is used to identify network video traffic and reassemble the video stream by extracting frames into images. The AI ​​analysis module is used for target recognition in images. If the image is identified as a vehicle, the license plate number is extracted. If it is identified as a human image, the image is saved after periodic deduplication. Video information is reported to the smart community integrated management and control platform via wired lines or 5G wireless transmission modules in the information collection device; The traffic exchange and acquisition module is connected in series between the community monitoring center and the switch connecting the camera, creating a bridge between the two network ports and using the bridge driver to forward traffic between the two network ports. Add a traffic hook to the bridge driver to copy and forward traffic to the mirror port.

6. The information acquisition device according to claim 5, characterized in that, The video traffic processing module identifies network traffic, reassembles data packets according to sessions, and accelerates the decoding of the reassembled video into images using a dedicated VPU video decoder. The identified protocols include RTSP and RTMP streaming media protocols.

7. An electronic device, characterized in that, The device includes: a processor and a memory storing computer program instructions; When the processor executes the computer program instructions, it implements the method as described in any one of claims 1-4.

8. A computer storage medium, characterized in that, The computer storage medium stores computer program instructions, which, when executed by a processor, implement the method as described in any one of claims 1-4.

Images