Agent Video Intelligence announced the launch of its breakthrough Anomaly Detection capability, as part of Agent Vi’s cloud-based Software as a Service (SaaS), innoVi™. Combining Agent Vi’s extensive research into Artificial Intelligence (AI) and development of Deep Learning-powered algorithms with the company’s 15 years of experience in providing cutting-edge Video Analytics solutions, the new Anomaly Detection is a robust self-learning capability that instantly alerts users to atypical incidents.
The pace of technological innovation is such that even the most fantastic of imagined futures seem like they could easily become reality. As existing technologies reach maturity, unforeseen developments arrive ever more quickly, and innovations make the leap from consumer applications to business (and vice versa) it’s imperative that we constantly seek to find those that have the potential to add value to our own business and those of our customers.
IC Realtime announced that a time-lapse compiler and creation tool is the first feature update available for Ella, IC Realtime’s cloud-based deep-learning search engine solution that augments surveillance systems with natural language search capabilities. With this new update, users can create a time-lapse video from a range of time or by a specific query to produce more detailed and relevant results.
IC Realtime, announces the introduction of Ella, a new cloud-based deep-learning search engine that augments surveillance systems with natural language search capabilities across recorded video footage.
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.
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.