Road condition reminder and camera detection method and device

Abstract

The invention relates to the video monitoring field and discloses a method for reminding a user of the road condition and detecting the state of a camera, and a device thereof. The method comprises the steps of acquiring monitoring videos shot by a plurality of front-end cameras stored in a video cloud storage system at the current moment; extracting the position information of the front-end cameras out of the monitoring videos; analyzing the monitoring videos shot by the front-end cameras of the same group according to the position information to obtain road condition of a road section corresponding to the group of front-end cameras. Based on the above method, a large number of monitoring videos can be stored in real time in the video cloud storage system. Meanwhile, the monitoring videos are quickly analyzed to obtain the more accurate traffic information on different road sections. Therefore, users can conveniently search the traffic information on a specific road section and then makes a judgment on the road condition according to the traffic information. As a result, users can reasonably select travel routes and driving schemes.

Description

technical field [0001] The invention relates to the field of video surveillance, in particular to a camera detection technology in a traffic monitoring system. Background technique [0002] With the advancement of science and technology and the improvement of people's living standards, private cars are becoming more and more popular, resulting in traffic congestion in almost every city now during peak traffic hours. If the road conditions can be fed back to the driver in a timely manner, the driver can reasonably choose the driving route and play the role of vehicle diversion. [0003] After some natural disasters or car accidents, the parameters of the surveillance cameras on both sides of the road, such as the installation height, pitch angle, horizontal angle and focal length, will be incorrectly configured. If these parameters are configured incorrectly, it will affect the camera. Therefore, there is an urgent need for a technology that can remotely and automatically mo...

AI Technical Summary

Problems solved by technology

[0003] After some natural disasters or car accidents, the parameters of the monitoring cameras on both sides of the road, such as installation height, pitch angle, horizontal rotation angle and focal length, will be wrongly configured. If these parameter configurations are wrong, it will affect the camera's accurate monitoring of vehicle violations. License plate recognition, etc., therefore, there is an urgent need for a technology that can remotely and automatically monitor camera parameter configuration

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