Damage identification and detection method for electric automobile before and after renting

Abstract

The invention relates to a damage identification and detection method for electric automobiles before and after renting, and belongs to the electric automobile detection and image identification technology field. The method comprises the following steps: S1, obtaining two images of an electric automobile before and after renting respectively through a camera device installed in an area of an electric automobile charger; S2, compressing the obtained digital images and converting the images into gray-scale images; S3, dividing a target image into several key areas; S4, forming a gray-scale co-occurrence matrix by analyzing space relevant features of gray scales among pixels of the images, and calculating contrasts (CON) and inverse difference moments (IDM) of the two images through the gray-scale co-occurrence matrix; and S5, conducting analysis and contrast of the contrasts (CON) and the inverse difference moments (IDM) of the two images in terms of color and texture, doing subtraction between two values of the same definition, and determining that no damage exists if a value obtained from the subtraction is within a set threshold range, otherwise, determining that damage exists. When the electric automobile is rent and runs in a normal state, the method can timely determine whether the rent electric automobile is damaged by humans, for instance, the automobile is scratched or has sunken areas.

Description

technical field [0001] The invention belongs to the technical field of electric vehicle detection and image recognition, and relates to a damage recognition detection method before and after electric vehicle rental. Background technique [0002] Existing car recognition technology is mainly used in the judgment of car number plate and model, and the location of the vehicle is judged by the recognition technology assisted positioning system. in city traffic. In terms of electric vehicles, the main research direction is the real-time monitoring and control of rechargeable batteries, and there is not much research on the identification of other aspects of electric vehicles. [0003] The time-sharing rental of electric vehicles has a broad market prospect, mainly due to two points. First, the limitation of road resources cannot allow unlimited growth of private cars. At the same time, electric vehicles can reduce exhaust emissions; on the other hand, this kind of time-sharing r...

AI Technical Summary

Problems solved by technology

[0004] At present, during the use and monitoring of electric vehicles, there is little monitoring and identification of damage to electric vehicles in the leased state

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