Automated Sorting of Pegs Using Computer Vision
Abstract
The thesis covered the creation and testing of a low cost and modular sorting system of pegs used in products by Lafayette Instruments. The system is designed to check peg dimensions through use of computer vision while sorting out nonconforming parts and counting ones that are conforming. Conforming parts are separated into bins of predetermined quantities so that they do not need manual counting. The developed system will save engineers and technicians at Lafayette instruments many man hours from manually sorting and counting the roughly 160,000 pegs a year. The system will be able to sort and count at a speed comparable to a human operator while achieving an overall average accuracy of 95% or higher.
Degree
M.Sc.
Advisors
Jacob, Purdue University.
Subject Area
Applied physics|Computer science|Physics
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