Nokia Scene Analytics combines data from IoT sensors, AI, and automated number plate recognition for identifying excessive noise.

Nokia (NYSE: NOK) has deployed AI-powered Scene Analytics to monitor noise pollution emitted by vehicles on the Stalenstraat, a street in the city of Genk in Belgium. The system, currently only a “proof-of-concept,” will help address health and safety concerns of residents and visitors suffering from noise levels due to exhaust modifications in cars, motorcycles and other vehicles. (NOKIA)

How it works

Nokia’s Scene Analytics is a video analytics and IoT solution that can capture and process thousands of video and IoT streams in real-time and use analytics to identify an anomaly or threat, an object or person in the wrong place, or a process that isn’t working correctly.

It sends instant alerts with insights, clips and other relevant data that will help enterprise teams prioritize and solve the problem.

For the Belgian city of Genk, Nokia, along with its technology partners, installed microphones and cameras as IoT sensors along the high street.

These devices begin recording if the noise from an approaching vehicle is higher than a specified minimum. Their data is then combined with a decibel-powered AI algorithm for the required audio analysis, as well as automated number plate recognition.

The quantified results are then forwarded to the city authorities for necessary action as they deem fit.

Mayor of Genk, Wim Dries, said: “The city of Genk embraces technology that improves the lives of its residents and visitors. The data collected by Nokia’s AI-powered platform will automatically analyze patterns of noise and traffic allowing us to understand with quantifiable results the concerns of residents and visitors. This will help us put plans in place to address the issues of loud vehicles in the city and make it a safer and more peaceful place for everyone within the city limits.”

Suparno Banerjee, Nokia Vice President of Government and Cities, said: The Nokia Scene Analytics platform is paving the way in sustainable, cross-domain sensor data analytics. By integrating it alongside third-party solutions and additional IoT sensors, it offers smart cities and connected industries an open, flexible and scalable solution which they can use to address a variety of challenges.”

Waste disposal practices in Melbourne

In August, Nokia’s Scene Analytics was deployed to optimize laneway servicing and understand waste disposal behavioural trends, including illegal waste dumping, in a busy Melbourne laneway.

The technology helped remove illegal waste more quickly, make the city cleaner and protect the environment.

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