Deep learning

Avigilon Previews Future Of Self-Learning Video Analytics

Avigilon Corporation (TSX: AVO), provider of trusted security solutions, showcased their new Avigilon Unusual Motion Detection (“UMD”) video analytics technology at ISC West 2017 last week. 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.

How Deep Learning Is Advancing Video Analytics

Deep learning technologies are making it possible to process and analyze vast streams of footage. It’s an area that’s been seeing significant investment and research. Mimicking the process of the human brain, the technique uses sophisticated, multi-level, “deep” neural networks to create systems that can perform feature detection from massive amounts of unlabeled training data. Data scientists in both industry and academia are using graphics processing units (GPUs) to accelerate their deep learning algorithms. GPUs process highly parallel computing tasks —like video and graphics— quickly and efficiently.