NDLI: On-line inspection of surface mount devices using vision and infrared sensors

Content Provider	IEEE Xplore Digital Library
Author	Dar, I.M. Newman, K.E. Vachtsevanos, G.
Copyright Year	1995
Description	Author affiliation: Georgia Inst. of Technol., Atlanta, GA, USA (Dar, I.M.; Newman, K.E.; Vachtsevanos, G.)
Abstract	This paper introduces a methodology for online inspection of surface mount components using vision and infrared sensors. The complementary nature of vision and infrared sensors allows for separation of solder joint defects into surface level defects and solder mass related defects for defect detection. The vision sensor can provide reliable information for surface level defects while infrared sensors are capable of providing information about solder mass related defects. An experimental facility is described and software routines developed for defect defection. Using both oblique and flat illumination techniques, the 2-dimensional gray scale images of the printed circuit boards are captured and preprocessed for suitable feature extraction. A sampling scheme has been developed for infrared inspection to reduce the inspection time. For defect detection a neural network construct is used to compare incoming data with stored templates. In addition, a classifier based on fuzzy relations and linguistic labels has been used to perform classification of linear misalignment defect accommodating the uncertainty associated with it. The strategy is demonstrated with inspection of a number of solder joint defects.
Starting Page	376
Ending Page	384
File Size	869832
Page Count	9
File Format	PDF
ISBN	0780326210
DOI	10.1109/AUTEST.1995.522699
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-08-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Inspection Infrared sensors Soldering Infrared detectors Lighting Printed circuits Feature extraction Image sampling Neural networks Uncertainty
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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