Error Detection for Tortillas

Optical Inspection using Deep Learning

An inhomogeneous topology, different shades and the changing shape of the tortilla make the detection of cracks or wrinkles extremely difficult. ViDi Detect can distinguish between tolerable deviations and defects by training on a reference set of approximately 100 different tortilla samples.

Tasks

Benefits

  • Detecting cracks in the tortilla
  • Reliable, robust evaluation
  • Recognizing wrinkles on the tortilla
  • Inspection possible despite inhomogeneous topology, different shades and shapes

Technologies

Deep Learning  
   

Sectors

Automotive
Electronics
Cosmetics
Synthetics
Food & Beverages
Manufacturing
Medical
Pharma

 

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