NDLI: Automated SMD LED inspection using machine vision

Content Provider	Springer Nature Link
Author	Perng, Der Baau Liu, Hsiao Wei Chang, Ching Ching
Copyright Year	2011
Abstract	Light-emitting diodes (LED) are used in many different applications. However, some LED defects are unavoidable in large-volume fabrication and taping processes. These defects may include missing components, incorrect orientations, inverse polarity, mouse bites, missing gold wires, and surface stains. Human visual inspection has traditionally been used in LED-packaging factories. However, it is subjective, time consuming, and lacking consistent inspection results. This paper proposes a machine vision system combining an automatic system-generated inspection regions (IR) method to inspect two types of LED surface-mounted devices (SMDs). Experimentation revealed that the proposed automatic inspection method could successfully detect defects with up to 95% accuracy for both types (Types 1 and 2) of SMD LEDs. The online inspecting speed was on average under 0.3 s per image.
Starting Page	1065
Ending Page	1077
Page Count	13
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	57
Issue Number	9-12
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-04-21
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	LED Vision inspection Machine vision Defect detection Production/Logistics/Supply Chain Industrial and Production Engineering Computer-Aided Engineering (CAD, CAE) and Design Mechanical Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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