Without any predefined rules or setup, UMD technology is able to continuously learn what typical activity in a scene looks like, and then detect and flag unusual motion. This allows operators to filter through large amounts of recorded video faster when using Avigilon Control Center (ACC) video management software, as it flags atypical events that may need further investigation, helping to reduce hours of work to minutes.
Unusual Motion Detection and Unusual Activity Detection both detect unusual events but use different algorithms to determine what is unusual.
Turn Unknowns Into Insights
Leverage AI to learn typical day-to-day activities in a scene to automatically detect and flag unusual motion that may otherwise be missed.
Monitor Unusual Events Efficiently
Select an anomaly type — location, direction, speed, absence, or all – to filter through hours of videos in minutes and detect unusual motion and activity.
Deploy Advanced Video Analytics
Easily identify unusual motion with analytics that continuously learn a scene’s “usual motion,” without the need to set up predefined rules.
Focus of Attention Interface
Avigilon’s ACC™ interface that leverages AI-powered deep-learning video analytics and UMD technology to determine actionable information and help ensure critical events don’t go unnoticed.
Filtered Recorded Timeline Search
Helps you quickly search through large amounts of video when using ACC™ software by flagging events that may need further investigation, helping to reduce hours of work to minutes.
Have questions? We can help. Our communication and video security experts can help you implement the right security system for your business.