Articles by Zvika Ashani

Video surveillance in 2017: Deep learning and cloud-based analytics broke through

2017 witnessed a continued decline in the cost of cameras. While this creates a challenge for camera companies, it creates two clear opportunities: (1) Product differentiation now relies more heavily on software rather than camera parameters, which drives more focus and rapid innovation on the software side, and (2) cameras have become more affordable which encourages an increase in the adoption rate and size of surveillance projects.   Artificial Intelligence surveillance applications Ad...

The future is here: Artificial intelligence to become standard for smart cities

A tipping point is defined as: “The point at which a series of changes becomes significant enough to cause a larger, more important change”. In the same way that IP video changed surveillance a decade ago, our industry is now feeling the impact of recent developments in Artificial Intelligence, Machine Learning, Deep Learning, Big Data, and Intelligent Video Analysis. Keyword definitions Let’s start with a few more definitions. Artificial Intelligence (AI) deals with the sim...

Deep learning algorithms broaden the scope of video analytics

Over the years, video analytics has gained an unfavourable reputation for over-promising and under-delivering in terms of performance. One of the biggest complaints regarding video analytics has been its inability to correctly identify objects in situations which appear trivial to the human observer. In many cases, this has resulted in a tendency to generate substantial numbers of false alarms, while not detecting actual events accurately. This, together with a propensity for complex set-up proc...