Data Engineering & Analytics
Strategic Management Consulting
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
AWS, Python, RabbitMQ, PostgreSQL, .NET
Sampling for quality