We put great importance to data protection and therefore use the data you provide to us with upmost care. You can handle the data you provide to us in your personal dashboard. You will find our complete regulations on data protection and clarification of your rights in our privacy notice. By using the website and its offers and navigating further, you accept the regulations of our privacy notice and terms and conditions.
Use Case
Industry, Innovation And Infrastructure
Sustainable Cities And Communities
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
monitor traffic movement
generate insight on traffic using artificla intelligence
Want to learn more about the lessons learned, financial details and results?
Log inPlanning time: Less than 6 months
Implementation time: Less than 6 months
Improving traffic management
Improved data accessibility