Vehicle brand model identification method based on deep learning

A technology of vehicle brand and identification method, which is applied in the field of brand and model of motor vehicles, can solve the problems of fake license plates and fake license plates, and achieve the effect of enhancing the ability of expression recognition

Active Publication Date: 2016-04-13
广东冠网信息科技有限公司
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  • Abstract
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Problems solved by technology

In the process of detecting such cases, although the license plate can provide authoritative vehicle information, it is powerless to deal with fake or fake license plates.

Method used

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  • Vehicle brand model identification method based on deep learning
  • Vehicle brand model identification method based on deep learning
  • Vehicle brand model identification method based on deep learning

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Embodiment Construction

[0018] In order to clarify the content of the present invention, further description will be made in conjunction with the accompanying drawings and preferred embodiments.

[0019] Refer to attached figure 1 , a vehicle brand model recognition method based on deep learning overall framework includes the following steps:

[0020] S1. Prepare vehicle model training data set

[0021] The collection of high-definition bayonet points in different cities has prepared more than 20 million snapshots. After manual screening, they are accurately divided into more than 3,000 categories according to the brand and model of the vehicle, and a rich database of vehicle brand and model pictures covering various conditions has been established.

[0022] In order to adapt to the complex and changeable real scene, the present invention collected more than 20 million high-definition checkpoint pictures from different checkpoints in multiple cities, and then after several months of manual and prec...

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Abstract

The invention discloses a vehicle brand model identification method based on deep learning. The method designs a firm deep convolution network structure by aiming at vehicle brand model identification, adopts the deep convolution network to extract the image characteristics of a vehicle face area under different scales and combines with a support vector machine to classify the image characteristics so as to automatically finish the vehicle brand model identification. The method is high in identification accuracy.

Description

technical field [0001] The invention relates to the field of image pattern recognition and intelligent transportation, in particular to a method for automatically identifying the brand and model of a motor vehicle in a high-definition bayonet snapshot in an intelligent transportation system. Background technique [0002] The rapid development of the economy has led to a sharp increase in the number of motor vehicles, and vehicle-related crimes have become more and more frequent. How to quickly lock suspect vehicles is very important. In the process of detecting such cases, although the license plate can provide authoritative vehicle information, it is powerless to counterfeit and fake license plates. In order to effectively solve this problem, the present invention proposes a brand-new method that can automatically identify the brand model of the vehicle in the high-definition bayonet snapshot, and the relevant departments combine the vehicle brand model information with oth...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/08
CPCG06N3/084G06V2201/08G06F18/2411
Inventor 曾凡涛
Owner 广东冠网信息科技有限公司
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