Room40 uses Nokia’s machine-learning powered video, audio and IoT analytics to flag emergencies and crime at service stations, parking lots and construction sites

Solution leverages existing CCTV infrastructure and new audio and IoT sensors for lower-cost solution.

Espoo, Finland – Nokia today announced that Room40, a company specializing in context aware and audio security monitoring analytics solutions, has adopted Nokia Scene Analytics in its video and audio security monitoring analytics solution to increase security and safety in various sites across Belgium. The solution will use machine-learning algorithms to identify anomalies in thousands of simultaneous streams of video, audio and sensor information, and flag incidents in real-time.

Highway service stations are often the site of vandalism, theft and coordinated drug and human trafficking. The cost of 24/7 video and audio monitoring, either by personnel or software, is prohibitively expensive. Room40 and Vias Institute, the Belgian knowledge center for road safety and security, are jointly tackling this issue on Belgian highways and other public spaces using the Nokia Scene Analytics solution. The same solutions will also become available for construction companies to monitor productivity and safety on site.

Typically, up to 99 percent of video, audio and sensor data is normal behavior. The Nokia Scene Analytics software uses machine-learning to establish what is ‘normal’, enabling it to track and record only irregular behavior that might be connected to safety or security incidents. This reduces the amount of data to process and more quickly and efficiently alerts personnel to incidents. It is also capable of extracting information from older, low-resolution CCTV cameras, as well as audio and other IoT sensors, which protects investment and lowers costs.

Harald Oymans, CEO and co-founder of Room40, said: “In a world that changes so drastically almost every minute, it is of the utmost importance to be able to see what’s really there. Scenario based patterns only provide insight in what was, not in what is. The self-learning capability of Nokia Scene Analytics enhances true insight in what’s really there, therefore enhancing the existing knowledge base with new information based patterns, which in turn enable the collection of the really needed data. In short, Nokia Scene Analytics enables true insights in a quickly changing world without any human assumptions, and in doing so it enables the structural growth of knowledge.”

Josee Loudiadis, Vice President Enterprise Analytics and IoT, said: “Real-life situations require an intelligent platform that can proactively detect, select, and track only relevant video streams for a variety of surveillance tasks. An important element of our Future X for industries strategy, the Nokia Scene Analytics software is a game-changing solution to the problem of security monitoring and will have wide-ranging applications in many other smart city and industrial applications. We are very proud to work with Room40 and VIAS to develop this security solution and help make Belgian highway service stations safer.”