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In Eindhoven, Vinotion implemented a system to do traffic measurement which would help to redefine spatial planning, create safer situation and lower traffic through the city center using an overview camera with real time artificial intelligence using low power hardware.
The city of Eindhoven wanted to perform temporary traffic measurement to redefine spatial planning and reroute traffic to create a safer situation and simultaneously lower the traffic throughput through the center of the city.
Using easy to deploy sensor(s) to get insight in the traffic on a cross section including pedestrians, bicycles and vehicles acquiring counting, their directions, speed, density, waiting time and queue length. Using an overview camera with real-time artificial intelligence in a box enables this.
We adopted state-of-the-art deep learning techniques from publications and implemented a real-time object recognition and tracking system. With special highly parallel hardware we achieved to realize this performance with a small device consuming less than 10W. A web server allows users to configure the system and offers an API to receive the acquired data. A standard camera interface allows the device to use video streams from existing cameras on the road.
The citizens got a letter stating the purpose of the project and could provide feedback
