Real time numerically automated machine vision for chip marking quality control
Date of Publication
1996
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics and Communications Engineering
Subject Categories
Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Honor/Award
Awarded as best thesis, 1996
Thesis Adviser
Lyne Palomar
Defense Panel Chair
Analene Nagayo
Defense Panel Member
Dave Karamihan
Roderick Yap
Abstract/Summary
The Real-Time Numerically Automated Machine Vision for Chip Marking Quality Control or RETINA is a numerically controlled hardware that automates marking inspection of any packaged integrated circuit. The heart of the hardware is a COPS microcontroller which controls the pneumatic sorter that picks defective chis from the rotating dish while it is visually inspected by a computer equipped with a Video Blaster card. The pattern verification software uses the Video Blaster directly and uses numerical means to process the acquired IC image. The system can stand alone without human intervention once the chips have been loaded and proper parameters have been entered into the system.
Abstract Format
html
Language
English
Format
Accession Number
TU07240
Shelf Location
Archives, The Learning Commons, 12F Henry Sy Sr. Hall
Physical Description
115, [131] leaves : ill. ; 28 cm.
Keywords
Image processing--Digital techniques; Real time data processing; Computer vision
Recommended Citation
Aguilar, G., Buenviaje, P., Cruz, A., & Yance, L. (1996). Real time numerically automated machine vision for chip marking quality control. Retrieved from https://animorepository.dlsu.edu.ph/etd_honors/76
