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Intelligent terminal video analysis algorithm combining edge calculation and deep learning

A deep learning and intelligent terminal technology, applied in the fields of deep learning, video analysis, and edge computing, it can solve problems such as large models, and achieve the effect of reducing model size, speeding up running speed, and avoiding delays.

Pending Publication Date: 2020-07-28
JINAN INSPUR HIGH TECH TECH DEV CO LTD
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AI Technical Summary

Problems solved by technology

However, due to the huge amount of data, too many training times will lead to the problem that the model is too large. Therefore, considering how to compress the model size has become a key problem that needs to be solved urgently.

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  • Intelligent terminal video analysis algorithm combining edge calculation and deep learning

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Embodiment Construction

[0030] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0031] The intelligent terminal video analysis algorithm combined with edge computing and deep learning, equipped with a moving object detection model on the edge device, processes the original video data in real time, and analyzes the moving objects in the video, thereby effectively reducing the network delay problem; at the same time, by retaining ke...

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Abstract

The invention particularly relates to an intelligent terminal video analysis algorithm combining edge calculation and deep learning. According to the intelligent terminal video analysis algorithm combining edge calculation and deep learning, a moving target detection model is carried on edge end equipment, original video data is processed in real time, and a moving target in a video is analyzed, so that the delay problem of a network is effectively reduced; meanwhile, the purpose of video compression is achieved by reserving key frame information including a background and a moving target, sothat a large amount of storage space is saved, and the searching time of positioning abnormal behaviors is shortened. According to the intelligent terminal video analysis algorithm combining edge calculation and deep learning, the video analysis process completed in a rear-end processor in the traditional process is replaced, and the training model obtained by utilizing deep learning is carried inthe cameras, so that each camera is a microprocessor and has the capability of processing the video stream in real time, and the storage pressure and the network transmission pressure are greatly reduced.

Description

technical field [0001] The invention relates to the technical fields of edge computing, deep learning and video analysis, in particular to an intelligent terminal video analysis algorithm combining edge computing and deep learning. Background technique [0002] Thanks to the improvement of processor performance and the innovation of algorithms such as deep learning, video analysis can conduct targeted analysis and processing of massive unedited original videos. Based on the development of video analysis technology, specific information of customer needs is provided, and video analysis applications such as face recognition, moving object detection, and pedestrian re-identification have emerged as the times require. Video analysis makes full use of the massive video provided by the camera and the back-end processor to display monitoring results and automatic alarms in real time. [0003] Today's more popular video analysis methods are mostly for front-end cameras to collect v...

Claims

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Application Information

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IPC IPC(8): G06T7/20G06N3/04G06N3/08
CPCG06T7/20G06T2207/10016G06T2207/20081G06T2207/20084
Inventor 李雪李锐金长新
Owner JINAN INSPUR HIGH TECH TECH DEV CO LTD
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