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    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.