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In-process product inspection with computer vision and artificial intelligence
In this project, we investigate deep-learning-based artificial intelligence technologies for automated in-process part inspection for advanced manufacturing. We will experiment with state-of-the-art computer vision and machine learning technologies, applied to a camera capture of a manufactured product part while the part is being made. In this way, product defects can be detected early, saving time from a human inspector to examine the part manually with a magnifier, enhancing safety and productivity of manufacturing factories in Canada and beyound.
Faculty Supervisor:
Ali Mahdavi-Amiri
Student:
Partner:
LlamaZOO Interactive Inc
Discipline:
Computer science
Sector:
Information and cultural industries
University:
Simon Fraser University
Program:
Business Strategy Internship
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