Defect And Components Recognition In Printed Circuit Boards Using Convolution Neural Network

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Defect And Components Recognition In Printed Circuit Boards Using Convolution Neural Network

The growth of electronic devices increases the demands of printed circuit boards (PCB) productions in the electronic industries. This leads to the rise in the quantity of PCB productions every day. Consequently, automated visual inspection becomes an essential system to be equipped in any producti...

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Bibliographic Details
Main Author:	Cheong, Leong Kean
Format:	Monograph
Language:	English
Published:	Universiti Sains Malaysia 2018
Subjects:	T Technology TK Electrical Engineering. Electronics. Nuclear Engineering
Online Access:	http://eprints.usm.my/53328/ http://eprints.usm.my/53328/1/Defect%20And%20Components%20Recognition%20In%20Printed%20Circuit%20Boards%20Using%20Convolution%20Neural%20Network_Cheong%20Leong%20Kean_E3_2018.pdf

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