Mechatronics, Electrical Power, and Vehicular Technology
Vol 2, No 2 (2011)

Machine Vision Implementation in Rapid PCB Prototyping

Murijanto, Yosafat Surya (Unknown)
Rusyadi, Rusman (Unknown)
Sinaga, Maralo (Unknown)



Article Info

Publish Date
12 Mar 2012

Abstract

Image processing, the heart of machine vision, has proven itself to be an essential part of the industries today. Its application has opened new doorways, making more concepts in manufacturing processes viable. This paper presents an application of machine vision in designing a module with the ability to extract drills and route coordinates from an un-mounted or mounted printed circuit board (PCB). The algorithm comprises pre-capturing processes, image segmentation and filtering, edge and contour detection, coordinate extraction, and G-code creation. OpenCV libraries and Qt IDE are the main tools used. Throughout some testing and experiments, it is concluded that the algorithm is able to deliver acceptable results. The drilling and routing coordinate extraction algorithm can extract in average 90% and 82% of the whole drills and routes available on the scanned PCB in a total processing time of less than 3 seconds. This is achievable through proper lighting condition, good PCB surface condition and good webcam quality. 

Copyrights © 2011






Journal Info

Abbrev

mev

Publisher

Subject

Electrical & Electronics Engineering

Description

Mechatronics, Electrical Power, and Vehicular Technology (hence MEV) is a journal aims to be a leading peer-reviewed platform and an authoritative source of information. We publish original research papers, review articles and case studies focused on mechatronics, electrical power, and vehicular ...