CN211720660U - Embedded video structured processing equipment based on network camera - Google Patents
Embedded video structured processing equipment based on network camera Download PDFInfo
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- CN211720660U CN211720660U CN202020789013.2U CN202020789013U CN211720660U CN 211720660 U CN211720660 U CN 211720660U CN 202020789013 U CN202020789013 U CN 202020789013U CN 211720660 U CN211720660 U CN 211720660U
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Abstract
The utility model provides an embedded video structuralization processing equipment based on a network camera, which comprises a control processing module and a 100M/1000M self-adaptive network interface module, and is connected with the control processing module and used for connecting the network camera and a cloud storage server so as to acquire real-time video streaming data of the network camera and upload and store the structuralization processed video data to the cloud storage server; the RS-485 communication interface module is connected with the control processing module and is used for connecting the network camera and the back-end server so as to establish communication control between the network camera and the back-end server; the RS-232 debugging serial port is connected with the control processing module and used for connecting the network camera and realizing debugging control on the network camera; and the control processing module is used for coordinating and controlling each connecting module and carrying out structuring processing on the real-time video stream data of the network camera.
Description
Technical Field
The utility model relates to a video structure handles technical field, specific theory has related to an embedded video structure processing equipment based on network camera.
Background
Since 2005, in order to ensure city safety and construct a harmonious society, the national ministry of public security and related institutional departments have begun to advance the implementation of large-scale comprehensive projects such as scientific and technological police, 3111 engineering, and safe cities nationwide, video monitoring has also increased rapidly from analog monitoring to digital monitoring, and then to network monitoring, and video monitoring data has also been in geometric order. In the face of massive video monitoring data, the original simple basic functions of real-time checking, video retrieval, storage and the like are also becoming more and more difficult to realize. The video images are not converted into information data, useful information in the videos cannot be extracted and can only be checked manually, the efficiency is low, the important information is often omitted due to human factor interference, and in order to solve the problems in the application of massive video monitoring big data, a video structuring technology which can realize retrieval, traceability, automatic analysis and deep excavation becomes the major trend of the video monitoring industry at present.
However, most of video surveillance cameras in the current safe city construction are network cameras, and do not have the video structuring function of smart cameras, and because the cost for constructing a city surveillance network is huge, it is not practical to update all network cameras, so it is necessary to provide an embedded video structuring processing device based on network cameras, which is installed after the existing network cameras are installed, and processes video stream information at the front end of the surveillance to obtain structured information and key frame data, so as to realize the upgrading and reconstruction of the existing surveillance network.
In order to solve the above problems, people are always seeking an ideal technical solution.
Disclosure of Invention
The utility model aims at providing an embedded video structurization treatment facility based on web camera to prior art's not enough.
In order to realize the purpose, the utility model discloses the technical scheme who adopts is: an embedded video structured processing device based on a network camera comprises a control processing module and a 100M/1000M self-adaptive network interface module, wherein the control processing module is connected with the control processing module and is used for connecting the network camera and a cloud storage server so as to acquire real-time video stream data of the network camera and upload and store the structured video data to the cloud storage server; the RS-485 communication interface module is connected with the control processing module and is used for connecting the network camera and the back-end server so as to establish communication control between the network camera and the back-end server; the RS-232 debugging serial port is connected with the control processing module and used for connecting the network camera and realizing debugging control on the network camera; and the control processing module is used for coordinating and controlling each connecting module and carrying out structuring processing on the real-time video stream data of the network camera.
Based on the above, the control processing module includes a decoding module, which receives video stream data from network camera transmission, performs format recognition, and decodes and restores the video stream data into video frame data; the structural processing module is connected with the decoding module and is used for detecting video frame data and carrying out AI intelligent identification to obtain structural video information data; the communication interface module is connected with the microprocessor module and is used for realizing the external communication of the control processing module; and the microprocessor module is respectively connected with the decoding module, the detection module, the identification module, the structural packaging module and the communication interface module and is used for coordinating and controlling the connection modules.
Based on the above, the control processing module adopts Haisi HI3516CRBCV 300.
The utility model discloses relative prior art has substantive characteristics and progress, specific theory, the utility model provides an embedded video structuralization treatment facility based on network camera can the direct mount in the network camera rear end, avoids the replacement to the front end camera, alleviates economic burden, reforms transform through the upgrading and effectively accomplishes the reuse to current video monitoring network. The transmitted video data are subjected to structural processing through the control processing module and then uploaded to the cloud storage server, and support is provided for monitoring personnel to improve analysis and retrieval efficiency.
Drawings
Fig. 1 is a schematic block diagram of the present invention.
Fig. 2 is a circuit diagram of the input/output interface part of the network camera-based embedded video structured processing device of the present invention.
Fig. 3 is a schematic diagram of the network camera-based embedded video structured processing device control processing module according to the present invention.
Fig. 4 is a schematic diagram of the adaptive network interface module of the network camera-based embedded video structured processing device of the present invention.
Fig. 5 is a schematic diagram of a power circuit of the network camera-based embedded video structured processing device of the present invention.
Fig. 6 is a schematic diagram of a memory circuit of the network camera-based embedded video structured processing device according to the present invention.
Detailed Description
The technical solution of the present invention will be described in further detail through the following embodiments.
Example 1
As shown in fig. 1, the present embodiment provides an embedded video structured processing device based on a network camera, which includes a control processing module and a 100M/1000M adaptive network interface module, connected to the control processing module, and configured to connect the network camera and a cloud storage server to obtain real-time video stream data of the network camera and upload and store the structured video data to the cloud storage server; the video stream data formats include h.264, h.265, MPEG4, SVAC, and other data formats.
And the RS-485 communication interface module is connected with the control processing module and is used for connecting the network camera and the rear-end server and establishing communication control between the network camera and the rear-end server, so that the network camera can be accessed into the existing video monitoring network system to realize the control of the rear-end server on the front-end camera.
And the RS-232 debugging serial port is connected with the control processing module and is used for connecting the network camera and establishing debugging control between the network camera and the back-end server, so that the debugging control of the back-end server on the network camera accessed to the existing video monitoring network system is realized.
And the control processing module is used for coordinating and controlling each connecting module and carrying out structuring processing on the real-time video stream data of the network camera. Specifically, the control processing module comprises a decoding module, which receives video stream data from network camera transmission, performs format identification, and decodes and restores the video stream data into video frame data; the structural processing module is connected with the decoding module and is used for detecting video frame data and carrying out AI intelligent identification to obtain structural video information data; the communication interface module is connected with the microprocessor module and is used for realizing the external communication of the control processing module; and the microprocessor module is respectively connected with the decoding module, the structural processing module and the communication interface module and is used for coordinating and controlling the connection modules.
The processing flow of the structured processing module is as follows: receiving video frame data obtained by decoding of a decoding module, detecting the video frame data, and finding out key frame data such as vehicles, human faces and the like; carrying out AI intelligent identification on the key frame data to obtain structural information of the gender, the age, the clothing of the person, the license plate, the color, the style and the like of the vehicle; and after the recognized structural information is packaged, uploading the information to a cloud storage server through a 100M/1000M self-adaptive network interface module.
Example 2
This example differs from example 1 in that: as shown in fig. 2-6, the control processing module adopts haisi HI3516CRBCV300, and the 100M/1000M adaptive network interface module adopts RTL 8201F-VB-CG.
Hi3516 is a professional high-end SOC chip developed by Haisin semiconductor aiming at high-definition IPCamera products, can realize 4M 30 frames, contains AI algorithm, supports 2-channel sensor input, has the characteristics of 1080P @30fps H264 multi-code-stream coding performance, excellent ISP and coded video quality, high-performance intelligent acceleration engine and the like, meets the requirements of functions, performance and image quality of client differentiated IPCamera products, and can greatly reduce ebom cost.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention and not to limit it; although the present invention has been described in detail with reference to preferred embodiments, it should be understood by those skilled in the art that: the invention can be modified or equivalent substituted for some technical features; without departing from the spirit of the present invention, it should be understood that the scope of the claims is intended to cover all such modifications and variations.
Claims (3)
1. An embedded video structured processing device based on a network camera is characterized in that: the device comprises a control processing module and
the 100M/1000M self-adaptive network interface module is connected with the control processing module and is used for connecting a network camera and a cloud storage server so as to acquire real-time video stream data of the network camera and upload and store the video data after structured processing to the cloud storage server;
the RS-485 communication interface module is connected with the control processing module and is used for connecting the network camera and the back-end server so as to establish communication control between the network camera and the back-end server;
the RS-232 debugging serial port is connected with the control processing module and used for connecting the network camera and realizing debugging control on the network camera;
and the control processing module is used for coordinating and controlling each connecting module and carrying out structuring processing on the real-time video stream data of the network camera.
2. The web camera-based embedded video structured processing device according to claim 1, wherein: the control processing module comprises
The decoding module receives video stream data from network camera transmission, performs format identification, and decodes and restores the video stream data into video frame data;
the structural processing module is connected with the decoding module and is used for detecting video frame data and carrying out AI intelligent identification to obtain structural video information data;
the communication interface module is connected with the microprocessor module and is used for realizing the external communication of the control processing module;
and the microprocessor module is respectively connected with the decoding module, the detection module, the identification module, the structural packaging module and the communication interface module and is used for coordinating and controlling the connection modules.
3. The network camera based embedded video structured processing device according to claim 2, wherein: the control processing module adopts Haisi HI3516CRBCV 300.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202020789013.2U CN211720660U (en) | 2020-05-13 | 2020-05-13 | Embedded video structured processing equipment based on network camera |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202020789013.2U CN211720660U (en) | 2020-05-13 | 2020-05-13 | Embedded video structured processing equipment based on network camera |
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