Automatic loss assessment method and system for automobile appearance on the basis of deep neural network

A deep neural network and automobile technology, which is applied in the field of automatic damage assessment method and system of automobile appearance, can solve the problems of affecting urban traffic, long period of damage assessment, and inability to automatically assess damage quickly, so as to reduce the cost of investigation and reduce the frequency of accidents Effect

Active Publication Date: 2018-11-30
北京深智恒际科技有限公司
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Problems solved by technology

In the above method, the user takes photos and submits them to the server for manual review, which has problems of long delay, high cost, poor user experience, and a relatively long period of damage assessment. Failure to quickly and automatically assess damage will also affect urban traffic and easily cause traffic congestion.

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  • Automatic loss assessment method and system for automobile appearance on the basis of deep neural network
  • Automatic loss assessment method and system for automobile appearance on the basis of deep neural network
  • Automatic loss assessment method and system for automobile appearance on the basis of deep neural network

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Embodiment Construction

[0038] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0039] Below in conjunction with accompanying drawing, the present invention is described in further detail:

[0040] Such as figure 1 As shown, the present invention provides a kind of car appearance automatic damage determination method based on deep neural network, comprising:

[0041] S1. The mobile phone takes the far / middle shot of th...

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Abstract

The invention discloses an automatic loss assessment method and system for automobile appearance on the basis of a deep neural network. A mobile phone shoots the long-shot/medium-shot photo of an accident automobile, automobile and automobile assembly component detection is carried out on the long-shot/medium-shot photograph in real time, according to an automobile and automobile assembly component detection result, a user is confirmed to shoot in a proper distance, and the user is prompted to shoot a first local automobile photo; the mobile phone continuously shoots the detail photo of the accident automobile, and a damage area in the detail photo is detected in real time; when the damage area is detected, the user is prompted to shoot a first detail photo; after the photo finishes beingshot, the user is continuously prompted to approach to shoot the area, when the damage area is detected again, the user is prompted to shoot a second detail photo, after the second detail photo finishes being shot, a current damage unit is submitted; and a background server carries out damage identification on each group of damage units submitted from the mobile phone, and the identification results of multiple groups of damage units are combined to obtain the damage details of the accident automobile.

Description

technical field [0001] The invention belongs to the technical field of computer image data processing, and in particular relates to a method and system for automatic damage assessment of automobile appearance based on a deep neural network. Background technique [0002] Car appearance damage survey is relatively common in the car business. Usually, after a car accident occurs, insurance company investigators need to go to the scene to conduct on-the-spot investigations and records, and then the driver of the accident car goes to the car damage assessment center for car damage appraisal. Finally, the accident car The driver went to the repair shop to repair the car according to the appraisal conclusion. At present, there are also some remote video survey systems. This system mainly connects the on-site survey personnel to the professional damage assessment personnel in the background. According to the guidance of the professional damage assessment personnel in the background,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04
CPCG06V20/584G06N3/045
Inventor 丛建亭
Owner 北京深智恒际科技有限公司
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