TDD-net: a tiny defect detection network for printed circuit boards

TDD-net: a tiny defect detection network for printed circuit boards

Tiny defect detection (TDD) which aims to perform the quality control of printed circuit boards (PCBs) is a basic and essential task in the production of most electronic products. Though significant progress has been made in PCB defect detection, traditional methods are still difficult to cope with...

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Bibliographic Details
Main Authors: Runwei Ding, Linhui Dai, Guangpeng Li, Hong Liu
Format: Article
Language:English
Published: Wiley 2019-04-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
neural nets
quality control
production engineering computing
data mining
printed circuits
learning (artificial intelligence)
computer vision
pattern clustering
feature extraction
TDD-Net strengthens
PCB defect dataset show
tiny defect detection network
printed circuit boards
PCB defect detection
complex PCBs
diverse PCBs
deep convolutional networks
Online Access:https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0019

Internet

https://digital-library.theiet.org/content/journals/10.1049/trit.2019.0019

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