Electric bicycle behavior recognition method and system, industrial personal computer and camera

Abstract

The invention discloses an electric bicycle behavior recognition method and system, an industrial personal computer and a camera. The method comprises the following steps: S1, carrying out the electric bicycle detection of a acquired image, and obtaining an electric bicycle image which comprises an image of a single electric bicycle; s2, violation and / or overload behavior recognition is carried out according to the electric bicycle image; and S3, if violation or overload behaviors occur, identity recognition is performed according to the electric bicycle image. By implementing the method and the system, the processing efficiency of the violation behavior of the automatic vehicle can be improved, the traffic order and the traffic safety can be maintained, and good economic benefits are brought.

Description

technical field [0001] The invention relates to the field of safe traffic, in particular to an electric bicycle behavior recognition method, system, industrial computer and camera. Background technique [0002] With the acceleration of my country's urbanization process and the improvement of residents' living standards, the concept of green travel is deeply rooted in the hearts of the people. Electric bicycles have become an important tool for short-distance travel for the general public, and the number of electric bicycles has also increased rapidly. As of 2019, according to preliminary statistics, the current social ownership of electric bicycles has exceeded 250 million. At present, electric bicycles do not need to go through strict driving tests and other procedures like motor vehicles when driving on the road, which can easily cause traffic safety problems. According to statistics, the incidence rate of automatic vehicles in urban traffic accidents is increasing year b...

AI Technical Summary

Problems solved by technology

At present, all parts of the country are promoting the licensing of electric bicycles and strengthening the control of electric bicycles. Therefore, it is urgent to detect and identify illegal behaviors of electric bicycles through existing bayonet cameras or new cameras. The overloading of electric bicycles is At present, electric bicycles are one of the more serious violations, which can easily cause traffic casualties

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