• Deshmukh Jyoti R.
• Borole Y.D.

To cope up with the obstacles in the method of survey of absent component detection for Printed Circuit Board (PCB), the computer vision application plays an important role. A Printed Circuit Board is used to automatic help and electrically ties the electronic components using conductive route, track or signal traces etched from copper sheets laminated on to soon conductive substrate. The automatic checking of PCBs performs a aim which is traditional in computer technology. The motive is to relieve human checker of the difficult and inefficient task of examine for those defects in PCBs which could lead to electric failure. This paper is a bird’s eye view on various existing approaches which performs automatic testing on PCB.

defect recognition, image subtraction, image enhancement, image processing, computer vision

"A Review On Methods For Missing Components Detection on PCB", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.424-426, June 2019, Available :http://www.jetir.org/papers/JETIR1906M63.pdf

"A Review On Methods For Missing Components Detection on PCB", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp424-426, June 2019, Available at : http://www.jetir.org/papers/JETIR1906M63.pdf