Vehicle multi-attribute identification method, device and equipment based on deep learning

A deep learning and multi-attribute technology, applied in the field of vehicle multi-attribute recognition based on deep learning, can solve the problem of time-consuming multi-attribute recognition, and achieve the effect of simple structure, short time-consuming and simple parameters

Inactive Publication Date: 2019-05-28
GOSUNCN TECH GRP
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] This application provides a vehicle multi-attribute recognition method, device and equipment based on deep learning, which is used for vehicle multi-attribute recognition and solves the time-consuming technical problem of existing vehicle multi-attribute recognition

Method used

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  • Vehicle multi-attribute identification method, device and equipment based on deep learning
  • Vehicle multi-attribute identification method, device and equipment based on deep learning
  • Vehicle multi-attribute identification method, device and equipment based on deep learning

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no. 1 example

[0056] In this embodiment, the picture of the vehicle to be detected that requires multi-attribute recognition is input into the preset multi-attribute recognition model obtained through the deep learning of the neural network, and the multi-attribute recognition result of the picture of the vehicle to be detected can be obtained, because the preset The preset neural network and the preset convolutional neural network are simpler in structure than the traditional neural network, so the parameters of the preset multi-attribute recognition model are relatively simple. Therefore, when using the preset multi-attribute recognition model, it takes less time and solves the existing problem Time-consuming technical problems in vehicle multi-attribute identification. The above is the first embodiment of a vehicle multi-attribute recognition method based on deep learning provided by the embodiment of the present application, and the following is the second embodiment of a deep learning-b...

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Abstract

The invention belongs to the technical field of computer vision, and particularly relates to a vehicle multi-attribute recognition method, device and equipment based on deep learning. The invention discloses a vehicle multi-attribute identification method, device and equipment based on deep learning. The method comprises the steps of obtaining a to-be-detected vehicle picture; inputting the to-be-detected vehicle picture into a preset multi-attribute recognition model based on a preset convolutional neural network to obtain a multi-attribute recognition result of the to-be-detected vehicle picture, the preset multi-attribute recognition model being an association relationship model of the vehicle picture and the multi-attribute recognition result; wherein the preset convolutional neural network comprises a data layer, five conv layers, two dropout layers, three pooling layers, two fc layers and two loss layers. The technical problem that existing vehicle multi-attribute identificationis time-consuming is solved.

Description

technical field [0001] The present application belongs to the technical field of computer vision, and in particular relates to a vehicle multi-attribute recognition method, device and equipment based on deep learning. Background technique [0002] With the development of artificial intelligence and computer vision technology, vehicle recognition technology has been widely used in many image detection and public security systems, such as bayonet system, electronic police system, intelligent transportation and automatic driving and other fields. [0003] Vehicle attribute recognition is used as the basic technology in vehicle recognition. In the prior art, neural network models are mostly used for vehicle attribute recognition. For single-task vehicle attribute recognition, better recognition results can be achieved, but for multi-task vehicle attribute recognition, the traditional neural network structure model takes a long time. [0004] Therefore, providing a rapid vehicle...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04
Inventor 毛亮朱婷婷薛昆南黄仝宇汪刚宋一兵侯玉清刘双广
Owner GOSUNCN TECH GRP
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