• Mahesh Baban Anerao
• Rahul Shivaji Dongare
• Sapna Narayan Borolkar
• Shobhika P. Gopnarayan

The importance of the Printed Circuit Board inspection process has been magnified by requirements of the modern manufacturing environment where delivery of 100% defect free PCBs is the expectation. T0 meet this expectations, identifying various defects and their types becomes the first step. In this PCB inspection system the inspection algorithm mainly focuses on the defect detection using the natural images. Many practical issues like tilt of the images, height at which images are taken etc. are to be considered to ensure good quality of the image which can then be used for defect detection. The forming of printed circuit board (PCB) is a multidisciplinary process, and etching is the most critical part in the PCB manufacturing process. In order to reduce scrap produce by the wrongly etched PCB panel, inspection has to be done in early stage. In this paper a method to identify the defects in natural PCB images and related practical issues are send using Software tools and some of the major types of single layer PCB defects like Track cut, Pin hole, Track short etc., Therefore the defects should be identified before the etching process so that the PCB would be reprocessed. In the present to reach expected to improve the output of the system in detecting the defects even in low quality images.

"PCB fault detection using image processing ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.490-493, May-2019, Available :http://www.jetir.org/papers/JETIR1905Q69.pdf

"PCB fault detection using image processing ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp490-493, May-2019, Available at : http://www.jetir.org/papers/JETIR1905Q69.pdf