We’re proposing a video analytics solution running on the city’s existing surveillance cameras (or in some instances new cameras are required to be installed). Video analytics is based in our developed Computer Vision algorithms that help classifying different traffic objects (cars, vans, buses, bicycles, pedestrians, etc.), measuring the flow of each object in real-time, and detecting different traffic violations (running the red traffic light, illegal turns, entering the bus lane, etc.). Data is processed on the EDGE and abides by all required data privacy standards (GDPR, ISO).
Our solution allows the city to view the data and analyze it through our platform. In this platform not only the statistical data can be worked with but also automatically cut evidence material on traffic infrignments. The approach we are taking not only allows the city to easily analyze the data but also gather real-time data on traffic in long-term 24/7. If there is a need to provide the data into existing city’s data platforms and tools, they can be easily fetched through our API.
