A Machine Vision Based Automatic Optical Inspection System for Detecting Defects of Rubber Keypads of Scanning Machine
Journal Title: EAI Endorsed Transactions on Industrial Networks and Intelligent Systems - Year 2019, Vol 6, Issue 18
Abstract
In order to detect defective rubber keypads, factories have to devote massive manpower and financial resources. In this paper, a vision-based system for the detection of a number of rubber keypad defects is designed and developed. To improve the lens distortion rectification, a novel, easy calibration method using image local transformations defined by both sets of points that are detected in the distorted image and the undistorted ones without using any model for a wideangle and low- cost lens camera was proposed. The system detects the defects of 14 different types of rubber keypads quickly (~within about 1.8 seconds) and accurately even with a normal laptop and a low-price webcam.
Authors and Affiliations
Huan Ngoc Le, Ngoc Vuong Bao Tu
Keywords
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- EP ID EP46099
- DOI http://dx.doi.org/10.4108/eai.28-3-2019.157121
- Views 289
- Downloads 0
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