Automatic PCB Defect Detection Using Image Substraction Method

Published:

August 8, 2013

Author:

Sonal Kaushik, Javed Ashraf

Abstract:

In this project Machine Vision PCB Inspection System is applied at the first step of manufacturing, i.e., the making of bare PCB. We first compare a PCB standard image with a PCB image, using a simple subtraction algorithm that can highlight the main problem-regions. We have also seen the effect of noise in a PCB image that at what level this method is suitable to detect the faulty image. Our focus is to detect defects on printed circuit boards & to see the effect of noise. Typical defects that can be detected are over etchings (opens), under-etchings (shorts), holes etc......

  • Download Automatic PCB Defect Detection Using Image Substraction Method article
  • To read this article you need to have Adobe PDF installed

You must be a registered user to talk back to us.

 

Company Information:

See Company Website »

Company Postings:

(1) technical library article

  • Apr 11, 2022 - iNEMI Webinar 07.07.2021 - PCB Cleaning | ZESTRON Americas
  • Jan 28, 2022 - Open Radio Unit White Box 5G | Whizz Systems
  • Nov 10, 2021 - Understanding the Cleaning Process for Automatic Stencil Printers | ITW EAE
  • Oct 20, 2021 - PCB Surface Finishes & The Cleaning Process - A Compatibility Study | ZESTRON Americas
  • Oct 06, 2021 - Cleaning Before Conformal Coating | ZESTRON Americas
  • Browse Technical Library »

Automatic PCB Defect Detection Using Image Substraction Method article has been viewed 495 times

Inline Cleaning Machine Hydro-clean Array

Reflow Oven