Avigilon previews the future of its self-learning video analytics

Source: Avigilon | Date: 2017/3/29

 Related tags: Analytics, Artificial Intelligence, Avigilon

Avigilon previews the future of its self-learning video analytics
Avigilon, provider of trusted security solutions, today announced that it will preview the new Avigilon Unusual Motion Detection ("UMD") video analytics technology at ISC West 2017.

UMD is an advanced artificial intelligence ("AI") technology that brings a new level of automation to surveillance. This technology is designed to continuously learn what typical activity in the scene looks like and focus the operator's attention on atypical events needing further investigation.

By continuously learning, UMD is able to automatically detect unusual events, such as a vehicle moving in the wrong direction on a road, or a crowd running in panic in a public space. This technology enables users to quickly search through volumes of recorded footage with ease, revealing events that might have otherwise been missed.

"A critical mass has been reached in the volume of video data captured today and the limits of human attention," said Dr. Mahesh Saptharishi, Avigilon's Chief Technology Officer. "Through the power of AI, we continue to develop technology that better focuses human attention to what matters most in order to dramatically increase the effectiveness of security systems."

This technology is designed for Avigilon's complete line of video analytics solutions. Existing customers will be able to upgrade certain legacy products to benefit from this exciting new technology.



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