Image-based vehicle damage estimation method and device and electronic equipment

Abstract

Embodiments of the invention disclose an image-based vehicle damage estimation method and device and electronic equipment. The method comprises the following steps of: obtaining a to-be-processed image of vehicle damage estimation; identifying a vehicle component in the to-be-processed image and confirming a component area, in the to-be-processed image, of the vehicle component; recognizing damage parts and damage types in the to-be-processed image; determining a damage component in the to-be-processed image and a corresponding damage part and damage type according to the damage parts and the component area; and generating a maintenance scheme on the basis of information comprising the damage component, the damage parts and the damage types. By utilizing the method and device and the electronic equipment, specific information such as damage parts and degrees of vehicle components can be detected rapidly, correctly and reliably, the damage estimation result is more correct and reliable, and maintenance scheme information is provided for the users to rapidly and efficiently carry out vehicle damage estimation processing, so that the service experience of the users is greatly improved.

Description

technical field [0001] The present application belongs to the technical field of computer image data processing, and in particular relates to an image-based vehicle damage assessment method, device and electronic equipment. Background technique [0002] After a traffic accident, it is often necessary to wait for the claims adjuster of the insurance company to go to the scene to deal with it, and obtain the basis for the claim by taking pictures. With the increase in the number of motor vehicles in recent years, the number of traffic accidents per year has been at a high level. However, the processing of vehicle claims and loss determination business often needs to rely on the human on-site processing of professional insurance staff, which has high cost, long waiting period and low processing efficiency. [0003] At present, there are some processing methods in the industry that use the images of the traffic accident scene to automatically analyze and obtain the classificati...

AI Technical Summary

Problems solved by technology

In addition, its algorithm only uses CNN's general object recognition algorithm, and the final result of vehicle damage assessment still relies on manual assessment, which requires a large amount of manpower and time, and different insurance companies have inconsistent assessment standards for vehicle damage, coupled with the influence of human subjective factors. The difference in the loss assessment results is large and the reliability is low

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