The Intelligence Inside
AnomaEYE.
Our multi-layered AI pipeline goes beyond pixels to understand human intent. Built for enterprise-grade security and sub-second detection.
Stream Ingestion
Connects to any IP camera via RTSP/WebRTC. Frame sampling optimized for behavior analysis.
Pose Estimation
Tracks 18+ skeletal keypoints per person in real-time to understand body mechanics.
Action Recognition
Proprietary transformer models analyze temporal sequences to name specific actions (e.g. concealment).
Edge Processing
Optional local processing to minimize bandwidth and ensure sub-second latency.
Core AI Capabilities
Behavioral Recognition
Our system isn't triggered by motion. It's triggered by behavior. Using Recurrent Neural Networks (RNNs) and Transformers, we analyze the sequence of actions to differentiate between someone reaching for their phone vs. someone concealing a high-value item with intent.
Privacy-First Engine
We use Re-Identification (ReID) technology that tracks people across multiple cameras without storing their biological identities. By converting people into mathematical vectors in a transient space, we maintain security without compromising privacy.