Industrial security systems report 15-35% recognition failures in challenging conditions. Poor lighting, distance variations, environmental factors—all contribute to gaps in surveillance coverage. At jupyter, what started as solving inaccuracy became something far more powerful. A recognition system that works universally, regardless of conditions or individuals.
While others fought algorithms, we approached the problem from a physics-first angle. Our FaceAI model processes light absorption differences. FaceTrainAI embeddings adapt to environmental conditions and simulate the toughest possible scenarios for detection variations. Compared to the leaders in Face Recognition Technology, our models achieve up to 40% higher accuracy in challenging conditions and across-demographics. 99.8% accuracy achieved across all conditions and individuals. Universal recognition unlocks unprecedented security capabilities.
When you can accurately recognise everyone, you can identify anyone who shouldn't be there. Unknown individuals attempting parcel theft. Unauthorised personnel loitering in restricted zones. Suspicious behaviour patterns that would otherwise go undetected. Universal accuracy enables proactive deterrence. Technology that protects by seeing clearly, completely, consistently.