Viscando offers a modern and innovative way to track all traffic, pedestrians, cyclists and vehicles. Independent tests show high accuracy, even in complex city environment with multimodal traffic. To reach the accuracy and flexability needed, Viscando OTUS3D is built on the same principles as the human and predator vision; two co-operating eyes that understands the world in all three dimensions. Combined with modern AI methods, OTUS3D can handle the complex outdoor environment.
Traditional systems face a hard time handling the complex urban traffic, where pedestrians, cyclists and vehicles are mixed. It is for these situations that OTUS3D is made. It measures all traffic at the same time, even in open spaces with mixed traffic, in all weather conditions.
Viscando OTUS3D is a unique solution that detects pedestrians, cyclists and vehicles in a single system, simultaneously, even in mixed traffic situations. Unlike other products, OTUS3D is already designed to handle the fact that pedestrians and cyclists move in a more unpredictable way than vehicles.
While traditional systems can measure only one line, Viscando OTUS3D can see a whole area where multiple measurement zones can be defined. Select functionality according to your current needs and upgrade or change easily in the future when needs change. It provides cost-efficiency and better decision-making for planning, prioritizing and monitoring actions in traffic.
For a better future, we need more sustainable and safer transportation. To move in this direction, we firmly believe that it is increasingly important to go beyond mere counting of cars. Are we to increase cycling and walking, we also need to better understand bicyclists' and pedestrians' objective and subjective experience of the urban traffic.
Cyclists and pedestrians move far more unpredictable than vehicles. They take shortcuts, quickly change direction, stop and move where you least expect it. No wonder that it has only been possible to count them manually so far. But how accurate are sporadic manual observations? What do such observations tell us about the safety and mobility of pedestrians and cyclists? What road design promote cycling and walking? How safe is it to cross the street or move through the intersection?
Wouldn't it be more wise to measure all the traffic simultaneously? Why spend so much resources only on vehicles? How is actually the interaction between road users and the infrastructure? How do we measure the impact of campaigns, changes and, ultimately, our spending of common tax assets?
This type of more detailed questions has only been studied by short-term manual observations or just guessed. Our explicit goal in the development of OTUS3D was to make behaviors, interaction and traffic safety objectively measurable.In numerous projects, we have shown how this can be done and how the gained insights can be used for efficient planning and learning.