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Vehicle loss assessment method and device executed by computer

A computer and damage determination technology, applied in the field of video processing, can solve problems that need to be further improved, and achieve the effect of improving accuracy

Inactive Publication Date: 2020-01-03
ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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AI Technical Summary

Problems solved by technology

[0004] However, the current intelligent damage determination scheme still needs to be further improved in determining the accuracy of vehicle damage

Method used

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  • Vehicle loss assessment method and device executed by computer
  • Vehicle loss assessment method and device executed by computer
  • Vehicle loss assessment method and device executed by computer

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Experimental program
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Embodiment Construction

[0028] The solutions provided in this specification will be described below in conjunction with the accompanying drawings.

[0029] Intelligent vehicle damage assessment mainly involves automatic recognition of vehicle damage from pictures of vehicle damage sites taken by ordinary users. In order to realize the identification of car damage, the method commonly used in the industry is to compare the pictures of car damage to be identified taken by users with massive historical databases to obtain similar pictures, and determine the damage to be identified based on the results of similar pictures. Damaged parts and their extent in the picture. However, the accuracy of damage identification in this way is not ideal.

[0030] According to one embodiment, the target detection model of the picture is trained through the machine learning method of supervised training, and the component target and the damaged target of the vehicle are respectively detected by using such a model, and ...

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Abstract

The embodiment of the invention provides a vehicle loss assessment method executed by a computer. Intelligent loss assessment is carried out based on a video stream generated by shooting a damaged vehicle. Specifically, the method comprises the following steps: firstly, carrying out preliminary target detection and feature extraction on image frames in a video stream to obtain a video stream feature matrix; moreover, performing target detection on the key frame in the video stream again to obtain a key frame vector; for each component, fusing the video stream feature matrix and features in thekey frame vector, and generating comprehensive damage features of the components; and on the other hand, preliminary loss assessment is carried out based on the video stream feature matrix to obtaina preliminary loss assessment result; and finally, making loss assessment again based on the preliminary loss assessment result and the comprehensive damage characteristics of each component, and acquiring a final loss assessment result for the video stream .

Description

technical field [0001] One or more embodiments of this specification relate to the technical field of video processing, and in particular to a method and device for using machine learning to process video streams for intelligent vehicle damage assessment. Background technique [0002] In the traditional auto insurance claims scenario, the insurance company needs to send professional survey and loss assessment personnel to the accident scene to conduct on-site survey and assessment of damage, provide the vehicle maintenance plan and compensation amount, and take photos of the scene, and keep the damage assessment photos for background verification Personnel check damage and price. Due to the need for manual survey and loss assessment, insurance companies need to invest a lot of labor costs and professional knowledge training costs. From the experience of ordinary users, the claim settlement process takes as long as 1-3 days due to waiting for the manual surveyor to take pict...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06Q40/08
CPCG06Q40/08G06V20/41G06V20/46G06V2201/08G06F18/24323G06F18/253G06F18/214
Inventor 蒋晨程远郭昕
Owner ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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