What and how do we do
We use optical sensors to see what moves, how it behaves. Then transform this into digital fingerprints.
Use AI on the data collected to analyze, process and interpret the results and display them graphically online or send them directly to your existing system. Everything happens in real time, without the need to set anything up.
We further enrich the collected data with other relevant information available at the measurement location, such as the amount of precipitation, wind speed, air temperature or air quality.
What can we detect
We are monitoring
We answer questions
We are monitoring
We answer questions
We are monitoring
We answer questions
We are monitoring
We answer questions
What you get with us
Privacy First
Absolute respect for privacy is everything to us. We never identify individuals, license plates, keep any personally identifiable information, or store images of any type. We believe in privacy and data security by design.
Fastest setup on the market
Our autonomous sensors are up and running in a matter of hours. No need for structural modifications, digging of connections or other complications. As a true edge computing device, all you need is a minimal power supply.
Actionable Results
We use self-learning AI technologies that adapt to new conditions within a few hours. Thanks to real-time data analysis and our edge computing capability, you receive the outputs you need when it matters to you.
Technologies used
To obtain image data in transport and public space, we can use both an existing camera system and our autonomous viSEN sensors, which are characterized by very easy installation, low consumption and extremely low data transfer requirement. We process image data from already installed cameras using viBOX units, which can process up to six image transmissions at once. If you need to connect more existing cameras, you can use your own hardware (dedicated server).
We analyze the quality of roads using viRAM mobile sensors installed in vehicles. Community data collection makes it possible to effectively monitor the quality and damage of the road network, as well as the condition of road assets such as street signs.
We transfer the results to a graphic form and display them clearly online or send them via API to your existing system. No need to learn new user interfaces or complex setup queries.
Involved partners
Project goal: The purpose of the project was to verify the accuracy of the mobile sensor developed by VisionCraft for traffic monitoring by the Transport Research Centre.
The project was co-funded by the European Union.
