We’re proposing a video analytics solution running on the city’s existing surveillance cameras (with some instances where new cameras need 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.), and detecting different trafficrelated events. Data is processed on the EDGE and abides by all required data privacy standards (GDPR, ISO).
Our solution allows the city to automatically identify vehicles in the zones of interest, and define when and how they would be dealt with. Our solution can automatically cut evidence material on traffic infrignments, in this case stopping in the loading zones, standing there for too long or unauthorized cars parking there. This can be adjusted to city’s needs, either sending real-time alerts to police or registering number plate and other relevant information in the platform and then automatically processing this as a fine 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 and connect with the necessary public organizations.
