Contact Information
Daalakkersweg 2-58 , 5641 JA Eindhoven, Nederlands
Detailed Information
About Partner

ViNotion is a specialist in the field of video content analysis. Using innovative techniques such as Machine- and Deep Learning, ViNotion creates products that are able to automatically detect and classify traffic participants in real-time.

Our products are able to learn and model specific objects from photo- and video examples. This technology is used in our smart surveillance systems, which are focused on the following applications:

Analysis of crowds, pedestrians and cyclists; ViSense CrowdDynamics;
Traffic surveillance and control; ViSense TrafficDynamics;
Mobility research and urban traffic statistics; ViSense UrbanDynamics;

Our software solutions generate detailed mobility data from video images, enabling our customers to optimize traffic situations. Our product range gives insight in the dynamic nature of traffic, such as the number of traffic participants, their movement speed, GPS position, traversed paths, crowd density, congestion information and much more.

Integration with TLEX I2V

The highly versatile information about all traffic participants including pedestrians and bicycles, generated with ViSense TrafficDynamics, is being exploited by the Monotch Smart Mobility Platform to control traffic lights and improve mobility and safety for the vulnerable road users.

Enriching the Monotch Smart Mobility platform with ViSense data opens a new world of possibilities for optimizing real-time traffic situations. Using a single sensor for more information about all traffic participants improves traffic control and reduces costs.

The expertise of Monotch in traffic control communication and the expertise of ViNotion in the generation of traffic data results in a win-win proposition! Virtually connecting every traffic participant at an intersection creates situational awareness on which the Monotch platform can prioritize the traffic most optimally at that point in time; every time!

MAP traffic management – MAPtm