Intelligent video image processing equipment based on edge calculation

Abstract

The invention relates to the technical field of monitoring devices, in particular to intelligent video image processing equipment based on edge calculation. The equipment comprises an image channel processing module, an image coding processing module, a video stream processing server, an edge intelligent processing module and the like. After the data acquisition module acquires original image data, the original data is shunted by the image channel processing module and is transmitted to the video stream processing server and the edge intelligent processing module, and the edge intelligent processing module processes the encoded data according to a corresponding intelligent algorithm. According to the invention, the problem that the existing traditional video image processing equipment haspoor image processing capability is solved; the problem that massive big data cannot be processed in time due to development of a high-definition camera is solved, the effects of reducing uploading ofvideo data, reducing video storage space and efficiently processing and extracting useful video information are achieved, and meanwhile the technical effects of meeting real-time transmission of thevideo data, relieving bandwidth pressure and saving the storage space of a monitoring terminal are achieved.

Description

technical field [0001] The invention relates to the technical field of monitoring devices, in particular to an intelligent video image processing device based on edge computing. Background technique [0002] As video surveillance technology is increasingly valued in the field of security and prevention, video surveillance has spread all over every corner of life, such as major intersections, blocks, shopping malls, campuses and other places are equipped with surveillance cameras (including some smart cameras), the wide application of video surveillance technology , bringing massive video and image processing data and huge storage requirements, the requirements for video and image processing platforms are getting higher and higher. Existing video and image processing platforms often use cloud computing video processing systems, although the concentration of cloud computing models The traditional computing and storage mode increases the security and reliability of video data, ...

AI Technical Summary

Problems solved by technology

[0002] As video surveillance technology is increasingly valued in the field of security and prevention, video surveillance has spread all over every corner of life, such as major intersections, blocks, shopping malls, campuses and other places are equipped with surveillance cameras (including some smart cameras), the wide application of video surveillance technology , bringing massive video and image processing data and huge storage requirements, the requirements for video and image processing platforms are getting higher and higher. Existing video and image processing platforms often use cloud computing video processing systems, although the concentration of cloud computing models The traditional computing and storage mode increases the security and reliability of video data, but there are inevitably some problems. First, when a large amount of video data is transmitted to the cloud computing center, the requirements for network bandwidth are high, which leads to the inability of real-time video. secondly, the cloud computing model needs to store and manage a large amount of redundant video data, which correspondingly increases the energy consumption of storage nodes; finally, the task processing of video data is concentrated on the cloud computing platform, which increases the impact on cloud computing. Processing burden on video server

[0003] There are two main problems in existing smart cameras. First, the current smart image processing equipment is partially equipped with image processing modules, but only has basic computing power and weak image processing capabilities, which cannot meet the massive big data brought by the development of high-definition cameras. Processing requirements, lack of more professional real-time analysis and processing capabilities for larger-scale data; Second, the existing intelligent camera processing equipment is mainly used in professional industry cameras, and the objects are often specialized video image processing of specific field scenes. The image processing module of this kind of intelligent camera processing equipment often processes images according to the predetermined algorithm, and cannot receive instructions from the back-end terminal, nor can it change the usage scene. image processing equipment

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