Cyclope.ai has developed a video-processing AI software dedicated to traffic analysis, that can detect and classify with high precision all vehicles in circulation, only from roadside cameras. The solution aims to meet the growing needs for accurate and easy-to-access traffic data to support traffic managers and mobility authorities in their decision-making.
Thanks to Artificial Intelligence latest technologies applied to video analysis, detection rates are as high as those provided by intrusive equipment, but without all the inconvenience
Traffic data is entirely collected by roadside traditional cameras. No intervention on the roadway is required, neither for installation nor for maintenance
Easy access to a Software-as-a-Service (SaaS) platform, easy-to-use by the traffic operators and customizable to all needs
Dramatic reduction of video processing time spent by the operators through the automation of a tedious and time-consuming task
Reliable vehicle detection thanks to a powerful Deep Learning tracking algorithm
Smart identification of pedestrians, bikes, motorcycles, light vehicles, trucks and buses
Configuration of illimited masking zones on each cameras to provide specific counting per zone
Compatible with most cameras to facilitate scalability and offer the possibility of integrating later additional detection functionalities
Thanks to an expertise in smart video processing and software development, Cyclope.ai has designed an ergonomic on-demand interface dedicated to traffic analysis. Traffic managers and mobility experts can upload directly their own traffic videos to automatically count and classify all the vehicles that can be seen on the video stream.
Set-up in some key infrastructure points, our video-based traffic analysis solution enables a better understanding, and thus monitoring, of traffic flows : road network managers can prioritize specific flows over others, opening the way to new mobility policies - for example, by promoting soft mobility at crossroads in urban centers or by implementing dedicated lanes for public transport.