Video Analytics
Face Recognition System
Face Recognition Video Analytics leverages AI and computer vision to identify, verify, and track individuals in real time using live camera feeds and stored databases.
Key Outcomes
- Automated identification for access control, law enforcement, and surveillance.
- Faster detection of suspects, missing persons, or unauthorized entries.
- Enhanced security through watch list integration and alert generation.
- Reduced manual monitoring efforts with high accuracy and scalability.
Object-Based Video Analytics
Object-Based Analytics uses AI-powered video analysis to detect, classify, and track objects such as vehicles, bags, or equipment within monitored areas.”
Key Outcomes
- Real-time detection of abandoned or suspicious objects.
- Vehicle and asset tracking for traffic and logistics management.
- Improved situational awareness through automated object classification.
- Reduced human error in monitoring crowded or complex environments.
Gesture-Based Video Analytics
Gesture-Based Analytics interprets human body movements and gestures through video feeds to trigger predefined actions or alerts
Key Outcomes
- Contactless user interaction in secure zones
- Early detection of distress
- Improved human–machine interaction in smart environments.
- Enhanced safety monitoring in public spaces, workplaces, and transport hubs.