Distributed deployment-based remote intelligent video diagnosis method

Abstract

The invention discloses a distributed deployment-based remote intelligent video diagnosis method. The method comprises the following steps of: storing a video file to an appointed path by a remote computer and naming the video file; setting a share attribute of the video file as a target computer by the remote computer; sending storage path information of the video file to the target computer by the remote computer through a network; accessing the video file of the remote computer by the target computer through the network; and analyzing the video file of the remote computer by the target computer, giving a diagnosis report and sending the diagnosis report to the remote computer. According to the method, a distributed system for sharing files through a network is used for remotely accessing video files, the access speed is high, the flow is small and the video files do not occupy the space of the target computer, so that the video diagnosis efficiency is greatly improved.

Description

technical field [0001] The present invention relates to the technical field of video image processing, in particular to a remote intelligent video diagnosis method based on distributed deployment. Background technique [0002] Video surveillance is used in conjunction with a network camera. It can be connected to the network in a wired or wireless manner. It is easy to install and deploy. It does not require users to configure special computers and capture video equipment. Users can use mobile phones or computers as monitoring terminal equipment. Receive alarm information and view surveillance video anywhere. The device is stable, reliable, economical and practical, and can be used for fire prevention and anti-theft, security guards, personnel monitoring, remote management, etc., especially suitable for individuals, families, shops, etc. [0003] With the development of society, the requirements for video surveillance are getting higher and higher, the most important of whi...

AI Technical Summary

Problems solved by technology

[0003] With the development of society, the requirements for video surveillance are getting higher and higher, the most important of which is the need for high-definition, and then fast transmission. For high-definition, the relative requirement gap is small, but the transmission speed is not satisfactory. , because clarity is often sacrificed when focusing on transmission speed, and transmission speed is unsatisfactory when focusing on clarity, so it is necessary to solve this problem, and more and more remote operations are required