Automated final visual inspection using image processing
Date of Publication
2014
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics and Communications Engineering
Subject Categories
Communication | Electrical and Electronics
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Edwin Sybingco
Defense Panel Chair
Lawrence Y. Materum
Defense Panel Member
Melvin K. Cabatuan
Carlo E. Ochotorena
Abstract/Summary
The study is about creating an automated final visual inspection using image processing software. An algorithm in NI LABVIEW would be designed and created that would function as a replacement in the current manual visual inspection processes. 3 cameras are used in order to take the images of the whole products.
The system analyzes products using edge detection and color matching. Line scores and match scores are obtained from ideal products, these score are then considered the basis of the comparison to new products being analyzed. The system then considers whether or not the product being analyzed. The system then considers whether or not the product passed inspection if they have achieved the minimum score established. Depending on the end decision the system sorts the products if they have passed or failed using a binning system.
From the testing and analysis that the group had done, the group concludes that the system had done analysis on the objects examined. A sufficient accuracy rate had been achieved to consider the system more effective than manual visual inspection.
Abstract Format
html
Language
English
Format
Accession Number
TU18768
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
vii, 233 leaves : illustrations (some colored) ; 28 cm.
Keywords
Optical pattern recognition; Image Processing--Digital Techniques; Computer vision--Industrial applications
Recommended Citation
Lumain, J. N., Navarrete, M. G., & Racpan, J. L. (2014). Automated final visual inspection using image processing. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/10556
Embargo Period
12-7-2021
