Room40 is using Nokia’s machine learning-powered Scene Analytics solution to flag emergencies and crime at service stations, parking lots and other public spaces.
Room40, a company specialising in context aware and audio security monitoring analytics, has incorporated Nokia’s Scene Analytics in its video and audio security monitoring analytics solution.
The solution will use machine-learning algorithms to identify anomalies in streams of video, audio and sensor information, and flag incidents in real-time with a view to increasing security and safety in various sites across Belgium.
Highway service stations, reportedly, 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 centre for road safety and security, are jointly tackling this issue on Belgian highways and other public spaces using the Scene Analytics solution.
According to Nokia, typically, up to 99 per cent of video, audio and sensor data is normal behaviour. The Scene Analytics software uses machine-learning to establish what is ‘normal’, enabling it to track and record only irregular behaviour 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 Internet of Things (IoT) sensors.
“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”
“Real-life situations require an intelligent platform that can proactively detect, select, and track only relevant video streams for a variety of surveillance tasks,” said Josee Loudiadis, vice president enterprise analytics and IoT, Nokia.
“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.”
“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,” added Harald Oymans, CEO and co-founder of Room40.
“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.”
Nokia said the same solutions will also become available for construction companies to monitor productivity and safety on site.
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