Case Study: Major Industrial Components Manufacturer achieves up to 40% faster anomaly detection with Auriga

Production Line Anomaly Detection Module

Major Industrial Components Manufacturer engaged Auriga to modernize its legacy production-line anomaly detection system, which was responsible for sorting defective parts. Auriga provided elite software R&D services focused on machine learning and Intel OpenVINO-based optimization.

Auriga redesigned the analysis module with a new architecture that included parallel data processing, model acceleration, and automated self-test and diagnostics. As a result, overall performance improved by up to 40%, with parallel data analysis contributing up to 30% gains, and the web-based tool made it faster to update algorithms for new production types.