In the third Session, Shaimaa Mugtaba, Instructor and founder of Intelligent Pattern, gave us as session on how object recognition models can be used in quality control applications.
Shaimaa Starts by giving an introduction about artificial intelligence, Computer vision and object recognition. Shaimaa Then moves on to describe several use cases for object recognition algorithms, focusing on teh quality control use case.
Afterwards, Shaimaa explains how AI-based visual inspection of the production line, may increase defect detection rates by up to 90% as compared to human inspection.
[Link to full presentation]