Computer Vision Inspection And Classification On Printed Circuit Boards For Flux Defects

• Main Author: Ang, Teoh Ong
• Format: Thesis
• Language: English; English
• Published: UTeM 2016
• Subjects: T Technology (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utem.edu.my/id/eprint/18521/1/Computer%20Vision%20Inspection%20And%20Classification%20On%20Printed%20Circuit%20Boards%20For%20Flux%20Defects%2024%20Pages.pdf; http://eprints.utem.edu.my/id/eprint/18521/2/Computer%20Vision%20Inspection%20And%20Classification%20On%20Printed%20Circuit%20Boards%20For%20Flux%20Defects.pdf; http://eprints.utem.edu.my/id/eprint/18521/; https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=100384

The manual inspection of Printed Circuit Boards (PCB) is labor intensive and slow down the production line. During the assembly process, the defective PCBs with flux defects if not detected and remove, it can create corrosion and cause harmful effects on the board itself. As such, an automated inspe...