Unusual Motion Detection
Self-learning analytics detecting atypical behaviour patterns
Overview
Unusual Motion Detection (UMD) is Avigilon's self-learning video analytics that continuously learns what 'normal' looks like in each camera's view, then alerts operators when something unusual occurs. Unlike traditional motion detection that requires manual rule configuration, UMD automatically adapts to each scene and detects anomalies without needing to define specific scenarios in advance.
Key Features
Self-Learning
Automatically learns normal patterns without configuration.
Anomaly Detection
Identifies unusual behaviour that deviates from normal.
No Rule Configuration
Works out-of-the-box without defining specific scenarios.
Continuous Adaptation
Adjusts to changing patterns over time.
Proactive Security
Alert before incidents escalate rather than after.
Reduced False Alarms
High accuracy based on scene-specific learning.
Technical Specifications
Ideal Applications
Interested in Unusual Motion Detection?
Contact Affinity Fire & Security for expert advice and professional installation of Avigilon Unusual Motion Detection.