Production Line Anomaly Detection Module

A major industrial components manufacturer entrusted Auriga with modernization of the legacy anomaly detection system that sorts out defective parts on the production line.

Projects Highlights
  • Parallel data analysis increased overall performance up to 30% .
  • In-built OpenVINO optimizing tool leveraged to accelerate trained models for better performance.
  • Automated self-test and diagnostic tools implemented to maintain high level of safety and reliability.
Achieved Benefits
  • The overall analysis module performance was increased up to 40% by the proposed approach and architecture design.
  • Developed web-based tool allows to swiftly upgrade algorithm upon launch of any new types of production.