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Computer vision-based vehicle damage distinguishing method

A technology of computer vision and discrimination method, applied in the field of computer vision, can solve problems such as inaccuracy, incomplete judgment, and low efficiency

Active Publication Date: 2017-03-15
CHENGDU TOPPLUSVISION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is: to propose a vehicle damage discrimination method based on computer vision, to solve the problems of incomplete, inaccurate and inefficient judgments that exist in the manual discrimination method in the traditional technology

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  • Computer vision-based vehicle damage distinguishing method

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Embodiment Construction

[0098] The present invention aims to propose a computer vision-based vehicle damage discrimination method to solve the problems of incomplete, inaccurate and low-efficiency judgments existing in manual discrimination methods in the traditional technology.

[0099] The technical scheme of the present invention will be described more clearly and completely below in conjunction with the accompanying drawings; obviously, the embodiments described below are only some embodiments of the present invention, not all embodiments, and are not intended to limit the protection of the present invention. scope. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0100] Such as figure 1 As shown, the discriminant method of the vehicle damage degree disclosed in the present invention comprises:

[0101] Step 1: Calibrate the binocular image acqu...

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Abstract

The invention relates to the field of computer vision and discloses a computer vision-based vehicle damage distinguishing method so as to solve a problem that a manual distinguishing approach adopted in conventional technologies is incomplete, inaccurate and inefficient in distinguishing operation. The computer vision-based vehicle damage distinguishing method comprises the following steps: in step a, a binocular image collection system is calibrated; in step b, the binocular image collection system is used for collecting images in a monitored area, and a depth map for the collected images is obtained; in step c, a convolutional neutral network is used for subjecting the depth map to characteristic extraction training operation, and a vehicle damage condition discrimination model is trained; in step d, the vehicle damage condition discrimination model is used for determining a damage degree based on collected vehicle images. The computer vision-based vehicle damage distinguishing method is suitable for distinguishing vehicle damage.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a method for discriminating vehicle damage based on computer vision. Background technique [0002] Accurate identification of vehicle damage is a very important technology that can bring great economic and practical significance to application scenarios such as traffic safety management, insurance companies, car rental companies, and auto repair shops. Therefore, the precise identification of vehicle damage Research is very meaningful. [0003] Generally, the forms of vehicle damage include bending, twisting, deformation, fracture or broken, etc., local collision injuries, severe injuries to muscles and bones, rollover injuries to the shape, and scratches to the surface. According to the characteristics of car damage, the commonly used centralized vehicle damage identification methods are: (1) mainly based on appearance (macroscopic) inspection, judged by seeing and touching; (2) ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/00
CPCG06T2207/20182G06T2207/10016G06T2207/20081G06T5/70
Inventor 李轩陈志超谷瑞翔张小苗
Owner CHENGDU TOPPLUSVISION TECH CO LTD
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