Remote damage assessment method and system based on distributed artificial intelligent image recognition

A technology of artificial intelligence and image recognition, applied in other database retrieval, office automation, multimedia data retrieval, etc., can solve the problems of forged and unclear images, avoid dismantling costs, improve satisfaction, and solve subjectivity Effect

Inactive Publication Date: 2016-10-12
DALIAN ROILAND SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there is a damage assessment system based on taking photos of vehicle acci

Method used

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  • Remote damage assessment method and system based on distributed artificial intelligent image recognition
  • Remote damage assessment method and system based on distributed artificial intelligent image recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] A remote damage assessment method based on distributed artificial intelligence image recognition, including:

[0048] S1: Image acquisition device, the image acquisition device can be a mobile phone or a camera device, which collects images of the exterior parts of the accident vehicle and sends them to the cloud platform by the mobile phone APP;

[0049] S2: Obtain collision data information through the vehicle-mounted OBD sensor device, the collision data information includes three-axis acceleration, three-axis angular velocity, audio, video and other data, and is uploaded to the cloud platform by the vehicle-mounted OBD sensor device;

[0050]S3: The image processing module performs preprocessing on the appearance part image collected by the accident vehicle. The preprocessing of the appearance part image includes gray scale processing, image grid image extraction, image deformation bitmap extraction, image color difference distribution and other image data preprocess...

Embodiment 2

[0065] Specifically the same technical solution as in Embodiment 1, more specifically, wherein the vehicle damage assessment database is specifically:

[0066] In the first step, after obtaining the image data of the exterior parts of the accident vehicle, on the one hand, through image acquisition equipment, such as mobile phones or camera equipment, and on the other hand, through accident collision simulation analysis, the obtained image data of exterior parts are stored in the vehicle damage assessment database as the original image library of appearance parts;

[0067] In the second step, according to the accident samples obtained from real accidents and accident collision simulation analysis, the damage assessment results based on the vehicle model, part appearance, accident type, etc. obtained through the automatic damage assessment module are stored in the vehicle damage assessment database as the total damage assessment. database.

[0068] In the third step, the image...

Embodiment 3

[0075] Specifically the same technical solution as in embodiment 1, more specifically, wherein the total database of loss assessment is specifically:

[0076] 1) According to the vehicle model, the damage level is established according to different appearance parts and stored in the vehicle damage database as the damage level library of appearance parts;

[0077] 2) Establish accident classification rules and types according to the recurring data of collision simulation accidents, and store them in the vehicle damage assessment database as the accident type library;

[0078] 3) According to the mapping relationship between accidents and damage levels, it is stored in the vehicle damage database as the vehicle damage database.

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Abstract

The invention discloses a remote damage assessment method and system based on distributed artificial intelligent image recognition. The method comprises the steps that an image collecting device collects external part images of a traffic accident vehicle and sends the external part images to a cloud platform; a vehicle-mounted sensor device acquires collision data information and uploads the collision data information to the cloud platform; an image processing module carries out preprocessing on the collected external part images of the traffic accident vehicle and stores the image preprocessing results into a vehicle damage assessment database; an image feature extraction module extracts features of the external part images according to the image preprocessing results, image matching is carried out on the obtained preprocessing external part image feature information of the traffic accident vehicle and an image base in the vehicle damage assessment database, and an external part damage assessment result of the traffic accident vehicle is obtained through a vehicle external part damage assessment model. By means of the method, on one hand, traffic accident vehicle external part damage assessment can be quickly carried out; on the other hand, by means of image and collision information step-by-step type damage assessment, the damage assessment faults can be reduced, and the precision and efficiency of settlement of claims can be improved.

Description

technical field [0001] The invention belongs to the field of remote damage assessment, in particular to a remote damage assessment method and system based on distributed artificial intelligence image recognition. Background technique [0002] After the collision of the vehicle, the vehicle itself will produce various deformations and damages, but only relying on the experience of the damage assessor to determine the damage of the accident vehicle, there is a lot of subjectivity and the probability of joint insurance fraud. In addition, traditional damage assessment requires vehicle dismantling for the accuracy of accident vehicle damage assessment, which also increases the cost of insurance claims. In the face of the fierce competition in the current insurance market, in order to further improve the insurance industry’s claim settlement service capabilities, the brand-new modern service method of the auto insurance remote loss assessment system is used to strengthen the clai...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q10/10G06Q40/08
CPCG06F16/5838G06F16/43G06F16/583G06F16/61G06F16/71G06F16/903G06Q10/10G06Q40/08
Inventor 田雨农张虹
Owner DALIAN ROILAND SCI & TECH CO LTD
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