ARGUS is a universal anomaly recognition system for product surface quality control in the manufacturing industry. It can automatically adapt to different kinds of products according to their physical appearance and use AI to detect surface anomalies with a little number of positive samples as training data without labeling.
Primary Application Area: AI, Data, Cyber, Software
Technology Development Status: Prototype
Technology Readiness Level: TRL 6
Vetted Programs/Awards: Geneva Inventions 2023 (application undergoing)
Organization Type: Academic/Gov Lab
Market Keywords: Quality control, Universal solution, AI Defect Detection