Quality visual inspection represents a major pain point in advanced manufacturing today. Even with the massive advances in automation technologies such as robotics and artificial intelligence (AI), relatively few opportunities exist to automate full visual parts inspection in manufacturing lines — especially for final product inspections. Other than cases of simple, well-defined inspection points or repetitive high-volume cases, humans often perform challenging visual inspection tasks in most manufacturing lines.
During an Automate Forward presentation on March 24, Corey Merchant of Kitov.ai will analyze the main advantages of humans performing inspection tasks such as dealing with complex 3D geometries and structures, contextual understanding, and part variation. He will then describe what is needed for an automated quality inspection system to compete and even beat the human brain in these complex inspection tasks.
The discussion presents a hybrid approach that combines classic machine vision with deep learning techniques and shows that by working along with a smart robotic system, we can reach a system that supersedes human performance in the inspection of general 3D products.
To join us, register for Automate Forward here.