Artificial Intelligence and Communication Technologies
Automated Inspection System for Assembled Printed Circuit Board Using Machine Vision
Authors: Harish O. Goupale, Neetu N. Gyanchandani, Pranay A. Chauhan, Sneha C. Kumbhare and Twinkle B. Bhaisare
Publishing Date: 31-03-2023
ISBN: 978-81-955020-5-9
Abstract
The perfect Printed Circuit Board (PCB) plays a very important role in every electronic device as well as in automation systems. So, it is very important to find defects in the PCB before installing it to any system or any device. However, PCB Manufacturers use various inspection systems in the process of manufacturing PCBs for detecting various types of defects in the PCB. In this article, we present the Automated assembled PCB Inspection System. This system finds defects such as missing components and improper position of its components by using the Pattern matching Technique where a good known score of template image is matched with the score of the test image. This system gives results at each inspection within 10 Seconds and the result given by this system are passed or fail in the form of an array sheet. This automated inspection system is created by using NI Vision Builder AI and NI LabVIEW technology. Ni Vision Builder AI has been used to create the algorithm. And NI LabVIEW has been used to create the application.
Keywords
NI LabVIEW2020, NI Vision Builder AI 2020, Image Processing, Pattern Matching Technique.
Cite as
Harish O. Goupale, Neetu N. Gyanchandani, Pranay A. Chauhan, Sneha C. Kumbhare and Twinkle B. Bhaisare, "Automated Inspection System for Assembled Printed Circuit Board Using Machine Vision", In: Saroj Hiranwal and Garima Mathur (eds), Artificial Intelligence and Communication Technologies, SCRS, India, 2023, pp. 919-932. https://doi.org/10.52458/978-81-955020-5-9-88