Hidden Damage Recognition

Our client is one of the world's  industry leaders and the largest home appliance manufacturer in Europe.
  • Challenges with identifying product damage prior to shipping to consumer.
  • Lack of root cause visibility for hidden damages.
  • Quality control only conducted via sampling method for the production line at the factory
  • Lack of distribution and production line metrics
  • Implemented the usage of cameras and deep learning approach for damage detection and classification for dishwashers.
  • Provided Reporting & archiving of the complete production and visualization of damage detection results via dashboards.
  • Developed an adaptable & scalable solution with deep learning algorithms and cloud technologies 
Tool Stack
  • AWS, Python, RabbitMQ, PostgreSQL, .NET



Segmentation accuracy



Classification accuracy



Sampling for quality