Image Processing Techniques for Inspection of Fault in PCB

7 Pages Posted: 8 Sep 2021

See all articles by Kshitika Panherkar

Kshitika Panherkar

affiliation not provided to SSRN

Manish Gaikwad

JSPM’s, BSIOTR, Pune (MH), India

Shubham Bhagwat

JSPM’s, BSIOTR, Pune (MH), India

Amruta Kapse

JSPM’s BSIOTR, Wagholi, Pune, Maharashtra, India

Date Written: June 5, 2021

Abstract

Initially, the uncovered PCBs (PCB while not elements connected to it) were inspected unpredictably victimization manual examination systems, this involves human operators. This system is dear since it's extremely erring because of human error. The intention of this project so is to provide a uniquely affordable and Comprehensive defect detection technique. We have a tendency to apply the machine vision construct to examine the vacant PCB and we have a tendency to 1st compare a customary PCB image with a PCB image to be inspected employing an easy distinction algorithmic program that may sight the defected region. Image distinction methodology is one among the only ways for the examination of PCB defects.

Keywords: Image Processing, MATLAB, PCB

JEL Classification: C0

Suggested Citation

Panherkar, Kshitika and Gaikwad, Manish and Bhagwat, Shubham and Kapse, Amruta, Image Processing Techniques for Inspection of Fault in PCB (June 5, 2021). Proceedings of the 3rd International Conference on Communication & Information Processing (ICCIP) 2021, Available at SSRN: https://ssrn.com/abstract=3918423 or http://dx.doi.org/10.2139/ssrn.3918423

Kshitika Panherkar (Contact Author)

affiliation not provided to SSRN

Manish Gaikwad

JSPM’s, BSIOTR, Pune (MH), India ( email )

Shubham Bhagwat

JSPM’s, BSIOTR, Pune (MH), India ( email )

Amruta Kapse

JSPM’s BSIOTR, Wagholi, Pune, Maharashtra, India ( email )

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
74
Abstract Views
394
Rank
701,295
PlumX Metrics