NDLI: Single-shot detector with enriched semantics for PCB tiny defect detection

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Single-shot detector with enriched semantics for PCB tiny defect detection

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Single-shot detector with enriched semantics for PCB tiny defect detection

Content Provider	IET Digital Library
Author	Shi, Wei Lu, Zhisheng Wu, Wei Liu, Hong
Abstract	Printed circuit board (PCB) defect detection is one of the primary problems in quality control of the most electronic products. Usually, the industrial PCB imagery has high resolution, but defects take up a small proportion (often only ∼10 pixels in size), which makes it difficult to use traditional machine vision methods. To this end, a novel single shot object detector (SSDT) is proposed for tiny defect detection in PCBs in this study. Specifically, a semantic ascending module, which propagates the semantic property of deep layers to shallow layers, is presented by fusing features of different levels. An attention mechanism is utilised to learn the relationship of the features to be fused across channels and a shuffle module is used to eliminate the aliasing effect after fusion. Moreover, the improved non-maximum suppression is proposed to extenuate the overlap effect for testing the whole PCB image. The proposed detector can rapidly detect tiny defects and the results of SSD and SSDT are further compared not only in PCB defect dataset but also the object detection public dataset PASCAL VOC2007 where SSDT achieves 81.3% mAP, better than SSD (79.5%). In final, the proposed detector is validated to be robust to rotation and blur.
Starting Page	366
Ending Page	372
Page Count	7
Volume Number	2020
e-ISSN	20513305
Issue Number	Issue 13, Jul (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/joe/2020/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/joe.2019.1180
Journal	The Journal of Engineering
Publisher	The Institution of Engineering and Technology
Publisher Date	2020-01-13
Access Restriction	Open
Rights License	Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Subject Keyword	Automatic Optical Inspection Computer Vision Computer Vision And Image Processing Technique Deep Layer Electronic Product Enriched Semantics Feature Extraction Image Segmentation Image Sonsor Industrial Application of IT Industrial PCB Imagery Knowledge Engineering Technique Learning in AI Novel Single Shot Object Detector Object Detection Object Detection Public Dataset PASCAL VOC2007 Optical, Image And Video Signal Processing PCB Defect Dataset PCB Image PCB Tiny Defect Detection Primary Problem Printed Circuit Printed Circuit Board Defect Detection Production Engineering Computing Quality Control Semantic Ascending Module Semantic Property Shallow Layer Shuffle Module Single-shot Detector SSDT Tiny Defects Traditional Machine Vision Method
Content Type	Text
Resource Type	Article

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