Machine Vision & Deep Learning in Manufacturing


Smarter Manufacturing, Simplified

Machine vision systems for visual inspection and defect detection have long been a part of the manufacturing process. These systems, however, still struggle with appropriate defect detection on the factory floor, and often generate too many “false rejects” of product that is not in fact defective.

This paper examines how Deep Learning can be use to reduce false rejects, as well as covers a common deployment scenario of Deep Learning for visual inspection in the manufacturing environment.


  • What machine vision in manufacturing does
  • Why traditional machine vision algorithms work often fail
  • How Deep Learning can solve the defect detection problem
  • How Deep Learning is trained and implemented on the factory floor
  • Real-world results achieved with Deep Learning

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