Centered on cross-frame event understanding, empowering security, retail, and beyond — upgrading video data from 'object recognition' to 'event insight and decision-making'.
Achieving capability leap from object recognition to event understanding and decision-making
Cross-frame modeling captures contextual relationships and event progression, upgrading from single-frame detection to continuous understanding.
Comprehensive analysis of human behavior, motion trajectories, and anomalous events — precisely identifying intrusion, loitering, falls, and other critical incidents.
Fuses visual and language information for semantic reasoning over video content, improving accuracy in complex scene analysis.
Automatically extracts key events and outputs structured data, enabling seamless integration with search, alerting, and business systems.
Built for real-world scenarios — automatically recognizing behaviors, detecting anomalies, and triggering responses




Covering security, traffic, home, and retail — automatically identifying key behaviors and anomalous events