Viscando offers a modern and innovative way to track all traffic: pedestrians, cyclists and vehicles. Independent tests show high accuracy, even in complex city environments with multimodal traffic. To achieve the necessary accuracy and flexibility Viscando OTUS3D is built on the same principles as human and predator vision: two cooperating eyes that understand the world in all three dimensions. Combined with modern AI methods, OTUS3D can handle the complex outdoor environment.
Traditional systems have a hard time handling the complex urban traffic, where pedestrians, cyclists and vehicles are mixed. OTUS3D was made for precisely these situations. 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 was 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 change becomes necessary. It provides cost-efficiency and better decision-making for planning, prioritizing and monitoring actions in traffic.
Wouldn’t it be wiser to measure all traffic simultaneously? Why allocate so many resources solely to vehicles? What is the interaction between road users and infrastructure actually like? How do we measure the impact of campaigns, changes and, ultimately, our spending of shared tax assets?
This type of more detailed question has only been studied using short-term manual observations, or just guessed. Our explicit goal in the development of OTUS3D was to make behavior, interaction and traffic safety objectively measurable. We have shown how this can be done in numerous projects and how the insights gained can be used for efficient planning and learning.