Image Processing Based Defect Detection of Printed Circuit Board
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 4
Abstract
Visual inspection is one of highest cost in printed circuit boards (PCB) manufacturing. Although many algorithms are available in defect detection, both contact and non-contact methods none is able to detect the defects accurately. Contact method tests the connectivity of circuits but unable to detect major flaws in cosmetic defects. Non-contact uses methods such as ultrasonic and x-ray imaging to detect anomalies in the circuit design. The use of manual labor to visually inspect each PCB is no longer viable since it is prone to human errors, time consuming, requires large overhead costs and results in high wastage. Thus an automation inspection system is highly desirable. This project aims at demonstrating real time PCB Defect Identification using digital image processing. This does not involve using a specialized sensors attached to the PCB. Printed circuit defects are mainly missing or extra elements on the board. PCB defects can be categorized into two groups; functional defects and cosmetic defects. Functional defects can be fatal to the circuit operations while cosmetic defects affect the appearance of the circuit board but may affect the performance of the circuit in long term.
Authors and Affiliations
Sanaullah Ahmad Rizvi, K. B. Neelima, Dr. T. Saravanan
Keywords
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