Deep Learning for Factory Automation

Deep Learning brain screw defect detection hot spot

Solve complicated vision applications too difficult to maintain

Deep learning-based image analysis combines the specificity and flexibility of human visual inspection with the reliability, consistency, and speed of a computerized system. Deep learning models can precisely and repetitively solve difficult vision applications that would be too complicated to program and frequently impossible to maintain using traditional machine vision approaches. Deep learning models can distinguish unacceptable defects while tolerating natural variations in complex patterns. And they can be readily adapted to new examples without re-programming their core algorithms.

Deep learning-based software can now can perform judgment-based applications more effectively than humans or traditional machine vision solutions:
  • Part location
  • Inspection
  • Classification
  • Character recognition

Increasingly, leading manufacturers are turning to deep learning solutions and artificial intelligence to solve their most sophisticated automation challenges.

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