Prior to joining Milestone Systems, I worked many years in the telecoms sector including 16 years with Telenor Group in Asia and in Europe. It was a fascinating industry to be in, with the rise of mobile communications and the development of smartphone technology disrupting the use of traditional telephony, alongside the massive take-up of mobile internet. While there I was part of a greenfield operation in Myanmar bringing connectivity to an entire population within a timeframe of eight months.
Later I worked in more strategic roles with connected cars, home alerts for the elderly and smart municipality concepts bridging towards the Internet of Things (IoT).
I’m excited to have joined Milestone Systems, and I’m looking forward to bringing a fresh perspective to the company’s activities. Throughout my career I have always dared to think differently and ask questions about why we are doing business in a particular way – always looking for ways to improve the status quo. I will use this approach to further strengthen Milestone Systems’ EMEA partner community of distributors, installers and solutions partners.
Milestone Systems is investing in the future and with our latest release offer the most powerful and scalable stream processing server, which utilises GPU accelerated decoding of live and recorded video. By partnering with Nvidia we have revolutionised and challenged today’s industry standards in efficiency, cost, scalability, deployment and performance by creating a system that can deal with 2,000 streams at 1080p, h.264 and 25FPS on a single server. In layman’s terms, it means doing more with less.
Video is proving to be a highly disruptive technology, and this is exemplified in next-generation video analytics that can identify everything in a scene, learn about new items as they appear and understand behaviour. Similarly, there is a huge buzz around visual augmentation and it is helping to optimise the use of body worn cameras used by public safety and law enforcement professionals. By offering zero latency, streaming and analysis of secure video and related intelligence over wireless networks can in fact be real time. So if the video analytics tool identifies the person confronting the officer as a known criminal, it can trigger an alert with a set of rules attached.
According to Intel, the IoT is predicted to grow from two billion objects in 2006 to 200 billion by 2020. Video has a massive role to play in the future of the IoT by generating actionable business intelligence through analytics.
We are also at the beginning of an exciting journey in terms of how artificial intelligence (AI) and machine learning is meshing with human input to enhance security. Neural networks can now learn what is normal behaviour by observing patterns of characteristics such as size, speed, colour, grouping, vertical or horizontal orientation. By classifying this data and continuously building up and refining definitions of what is ‘normal’ behaviour, a neural network can recognise when something breaks the pattern and send an alert. It is transforming video content analysis in the security sector, and beyond.
By Malou Toft, Milestone Systems Vice President for EMEA, who last month received the Leader of the Year Award from the Danish Academics Association for Law and Economics, Djoef.