Charging pile component line sequence color mistake-proofing detection method

A detection method and technology of charging piles, which are applied in neural learning methods, computer components, image data processing, etc., can solve the problems of low detection efficiency and high false detection rate

Pending Publication Date: 2020-07-07
TIANJIN UNIVERSITY OF TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art, and propose an error-proof detection method for the line sequence and colo

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  • Charging pile component line sequence color mistake-proofing detection method
  • Charging pile component line sequence color mistake-proofing detection method
  • Charging pile component line sequence color mistake-proofing detection method

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Embodiment Construction

[0041] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:

[0042] An error-proof detection method for the line sequence color of charging pile parts, such as figure 1 shown, including the following steps:

[0043] Step 1. Collect the line sequence and color video samples of charging pile parts;

[0044] In this embodiment, a high-precision camera is used to collect the line sequence and color video samples of the charging pile parts, and according to needs, the collected objects can also be expanded to video samples of other shapes of specific objects in the charging pile parts.

[0045] Step 2. Obtain the single-frame image of the line sequence and color video sample of the charging pile parts collected in step 1 to form a basic data set; and perform data enhancement on the image of the basic data set to form a charging pile part data set; The location and category information of the charging pile parts...

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Abstract

The invention relates to a charging pile component line sequence color mistake-proofing detection method. The method comprises the following steps: 1, collecting a line sequence and color video sampleof a charging pile component; 2, acquiring a single-frame image of the video sample of the line sequence and the color of the charging pile component acquired in the step 1 to form a basic data set;3, generating a trained convolutional neural network detection model of the line sequence and the color of the charging pile component; and 4, obtaining an improved convolutional neural network detection model of the line sequence and the color of the charging pile component, and inputting the test set into the improved convolutional neural network detection model of the line sequence and the color of the charging pile component for testing to obtain a detection result. The charging pile component detection and classification precision and speed can be effectively improved, and the beat requirement of a production system is met.

Description

technical field [0001] The invention belongs to the technical field of component detection in intelligent assembly, and relates to a detection method for parts of charging pile parts, in particular to an error-proof detection method for line sequence and color of charging pile parts. Background technique [0002] At present, with the continuous development of my country's manufacturing industry, intelligent assembly systems are gradually being applied. Coupled with my country's vigorous promotion of the new energy industry, the continuous development of new energy technology products, and the application of charging piles are also very extensive. The detection and identification of the line sequence and color of charging pile parts is an important content in the intelligent assembly system of charging piles, involving computer vision, deep learning, image recognition and other research fields. At present, the traditional assembly system relies on manpower for repetitive lab...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/90G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06T7/0008G06T7/90G06N3/08G06T2207/10016G06T2207/20081G06T2207/20084G06T2207/30164G06V10/56G06N3/045G06F18/23213G06F18/241
Inventor 郭纪志刘凤连张静汪日伟李文龙李雷辉孟赵明肖峻熙俎晨洋
Owner TIANJIN UNIVERSITY OF TECHNOLOGY
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