Method and system for identifying vehicle appearance

Abstract

The embodiment of the invention provides a method and system for identifying vehicle appearance. The method comprises the steps: photographing a plurality of current driving images of the vehicle through a plurality of cameras in a predetermined monitoring area; based on the plurality of current driving images, identifying identity information of the vehicle; according to the identity information of the vehicle, performing image splicing processing on a plurality of current driving images of the vehicle to obtain a current appearance image of the vehicle; and carrying out vehicle appearance analysis on the current appearance image of the vehicle to obtain an analysis result, and determining whether the appearance of the vehicle is damaged or not according to the analysis result. Through the method, under the condition that a plurality of vehicles run in a preset monitoring area at the same time, the current running images of the vehicles can be identified efficiently and accurately, and the current appearance images of the vehicles are spliced, so that whether the appearances of the vehicles are damaged or not can be identified efficiently, accurately and automatically, and the use experience of vehicle users is greatly improved.

Description

Technical field [0001] The present invention relates to the technical field of vehicle identification, in particular to a method and system for identifying the appearance of a vehicle. Background technique [0002] The current sharing economy is booming. As an important part of the sharing economy, the market for shared cars is also growing, becoming a travel mode of choice for more and more people. However, when a user uses a shared car, on the one hand, the shared car service provider usually requires the user to take several pictures of different angles around the vehicle body before using the shared car. After the user finishes using the vehicle, he also needs to take several pictures of different angles around the vehicle body. Picture, by comparing the two pictures taken to determine whether the appearance of the vehicle is damaged and the assignment of responsibilities, but this greatly affects the user experience; on the other hand, in a dimly lit parking lot, the shootin...

AI Technical Summary

Problems solved by technology

However, when a user uses a shared car, on the one hand, the shared car service provider usually requires the user to take several pictures from different angles around the vehicle body before using the shared car. Pictures, by comparing the pictures taken twice, to determine whether there is any damage on the appearance of the vehicle and the distribution of responsibilities, but this greatly affects the user experience; on the other hand, in the dimly lit parking lot, the pictures are clear Vehicle pictures are particularly difficult, and when users take pictures of vehicle bodies independently, there are problems such as incorrect shooting angles and images above the vehicle that cannot be taken, resulting in the inability to accurately determine whether the appearance of the vehicle is damaged

[0003] Therefore, it is urgent to solve the problems of poor user experience, low degree of automation, low quality of manual shooting, and incorrect shooting angles when using shared cars.

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