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Vehicle appearance damage identification method based on deep learning

A damage identification and deep learning technology, applied in the field of vehicle appearance damage identification based on deep learning, can solve the problems of slow algorithm detection, large amount of calculation, difficult to achieve real-time effect, etc., to solve the problem of high labor cost and shorten speed , the effect of improving efficiency and accuracy

Active Publication Date: 2019-04-19
中汽数据(天津)有限公司 +1
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AI Technical Summary

Problems solved by technology

However, the process of the method is complicated and the amount of calculation is large, which leads to the slow detection speed of the algorithm and it is difficult to achieve real-time results.

Method used

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  • Vehicle appearance damage identification method based on deep learning
  • Vehicle appearance damage identification method based on deep learning
  • Vehicle appearance damage identification method based on deep learning

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Embodiment Construction

[0037] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0038] In describing the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", " The orientations or positional relationships indicated by "vertical", "horizontal", "top", "bottom", "inner" and "outer" are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and Simplified descriptions, rather than indicating or implying that the device or element referred to must have a particular orientation, be constructed and operate in a particular orientation, and thus should not be construed as limiting the invention. In addition, the terms "first", "second", etc. are used for descriptive purposes only, and should not be understood ...

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Abstract

The invention provides a vehicle appearance damage identification method based on deep learning. The vehicle appearance damage identification method comprises the steps of obtaining an actual vehicleappearance damage image and marking a damage type and a position; Building a deep convolutional neural network; Carrying out model training to obtain a trained model; And vehicle appearance damage identification and model evaluation are carried out by using the trained model. According to the vehicle appearance damage identification method based on deep learning, the damage type and degree of thevehicle appearance part are identified in a complex environment based on the deep convolutional neural network model, and the algorithm operation speed is improved while the algorithm precision is ensured.

Description

technical field [0001] The invention belongs to the field of artificial intelligence, and in particular relates to a vehicle appearance damage recognition method based on deep learning. Background technique [0002] In recent years, with the continuous and rapid development of China's economy and society, the number of motor vehicles in the country has continued to grow rapidly, and vehicle traffic accidents have also occurred frequently. Usually, after a vehicle accident occurs, professional claimants of the insurance company need to use manual judgment methods to identify vehicle damage, resulting in low efficiency in case handling by the insurance company and long waiting times for car owners. [0003] After searching the prior art, it was found that Chinese Patent Document No. CN105678622A, published / announced on June 15, 2016, and titled "Analysis Method and System for Auto Insurance Claim Photos", discloses a method using a conventional convolutional neural network. A...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08G06Q40/08
CPCG06N3/08G06Q40/08G06V2201/08G06N3/044G06N3/045G06F18/24
Inventor 朱向雷郭维明刘森朱倩倩赵子豪
Owner 中汽数据(天津)有限公司
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