Almost all conventional video analytics systems are rule based. Applying these methods of detection and analysis to identify abnormal events is counter-intuitive because they are by nature highly unpredictable.
ARVAS uses advance statistical modelling and deep machine learning to detect anomalies instead. This automated approach enables more accurate detection of complex risk pattern that would otherwise escape human analysts.
And since it is data driven, ARVAS becomes smarter and
stronger over time, providing more reliable security for cities and enterprises.
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ARVAS (Abnormality Recognition Video
Analytic System) is Vi Dimensions’ patent pending Abnormality Detection
Technology. ARVAS analyses video data to uncover patterns and find abnormalities
that would otherwise have gone unnoticed.