Analysis method and system for vehicle insurance claim-settlement photos

Abstract

The invention discloses an analysis method and a system for vehicle insurance claim-settlement photos. According to the preset types of vehicle damaged parts, the claim-settlement photos of a preset number for each preset type of vehicle damaged parts are acquired from a vehicle insurance claim-settlement database. Based on claim-settlement photos corresponding to each preset type of vehicle damaged parts, a preset analysis model for analyzing claim-settlement photos and containing the preset types of vehicle damaged parts is generated according to a preset model generation rule. After that, a claim-settlement photo uploading request sent by a mobile terminal is received, and claim-settlement photos corresponding to the claim-settlement photo uploading request are acquired. The acquired claim-settlement photos are analyzed based on the generated preset analysis model. Finally, a prompt message corresponding to the analysis result of the above step is generated based on the analysis result. According to the technical scheme of the invention, the effect of automatically uploading insurance claim-settlement photos is realized. Meanwhile, the acquisition efficiency and the acquisition accuracy of photos for vehicle damaged parts are improved.

Description

Technical field [0001] The invention relates to the technical field of data processing, in particular to a method and system for analyzing auto insurance claims photos. Background technique [0002] In a complex traffic environment, timely and effective handling of traffic accidents is an important part of alleviating traffic pressure. At present, in the auto insurance industry, the development of on-site surveys and vehicle damage assessment businesses often relies on the manpower input of professional insurance personnel, which is costly and inefficient. For example, in existing traffic accidents, such as wiping and hanging accidents, it is necessary to wait for the insurance company's claims adjuster to take pictures before leaving the scene, which often causes traffic jams and wastes a lot of time. [0003] At this stage, although some companies in the industry have begun to use intelligent image detection technology to automate the processing of auto insurance on-site picture...

AI Technical Summary

Problems solved by technology

At present, in the auto insurance industry, on-site surveys and vehicle damage assessment often rely on the human input of professional insurance personnel, which is costly and inefficient

For example, in existing traffic accidents, such as car accidents, it is necessary to wait for the claims adjuster of the insurance company to take pictures before leaving the scene, which often leads to traffic jams and wastes a lot of time

[0003] At this stage, although some enterprises in the industry have begun to use intelligent image detection technology to automatically process the pictures of the auto insurance scene, the accuracy of this image detection technology is not high at present, systematic errors generally exist and the errors are large, and the detection results are often difficult to achieve. Business needs

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