• Data access and preprocessing techniques including denoising, registration and intensity adjustment.
• Semantic segmentation and labeling of defects and abnormalities
• Defect detection using MobileNetv2, Grad-CAM and other deep learning techniques.
• Deploying to multiple hardware platforms such as CPUs and GPUs.

This session is for Engineers interested in Automated Visual Inspection and AI in Manufacturing.

Industry  Across industry - Manufacturing, Automotive, Aerodef, Energy Production, Semiconductor

This programme will be conducted by Mr. Jayanth Balaji Avanashilingam, Application Engineer MathWorks India.

Mr. Jayanth Balaji Avanashilingam works as an Application Engineer at MathWorks in the area of Language of Technical Computing. He primarily focuses on areas of Data Analytics for the application involving with Time-Series data. He has  8+ years of research and industrial experience, where he was working developing AI/ML/DL solutions for various application areas, such as retail optimization, computer vision and Natural Language Processing