CNN-based FPC surface defect detection method and system

The invention provides a CNN-based FPC surface defect detection method and a CNN-based FPC surface defect detection system, and the method comprises the steps: obtaining the original image information of a detected object, intercepting an RGB image of a predetermined size through a sliding window al...

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Hauptverfasser: LU JINHUI, GUO XUEYIN, YUAN MINGCHUAN, MAO SHUYI
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creator LU JINHUI
GUO XUEYIN
YUAN MINGCHUAN
MAO SHUYI
description The invention provides a CNN-based FPC surface defect detection method and a CNN-based FPC surface defect detection system, and the method comprises the steps: obtaining the original image information of a detected object, intercepting an RGB image of a predetermined size through a sliding window algorithm, carrying out the convolution and deconvolution of the inputted RGB image through a first-stage network, and outputting a multi-channel feature map, and inputting the multi-channel feature map into a second-stage network, classifying defects in the defect image by using the second-stage network, constructing a CNN detection model, and detecting the defects according to the types of the defects. The system is applied to the method. The FPC product defect detection device has the advantages of high detection efficiency and high detection precision, and can help enterprises to reduce human cost investment, reduce detection cost and detection difficulty, thereby improving the defect detection efficiency of FPC
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES
MEASURING
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
TESTING
title CNN-based FPC surface defect detection method and system
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