An AI-powered High Occupancy Detection system
Based on the latest AI-powered video-analysis technologies, Cyclope.ai has developed a powerful control device to support the deployment of High Occupancy Vehicle (HOV) lanes : co-developed with Cegelec EDR, the high-tech innovative solution is a road-side compact equipment that can count the number of occupants into a high-speed vehicle with a very high precision.
Silhouette detection
AI lateral and frontal detection for an accurate counting of occupants
Vehicle classification
Vehicle class recognition according to pre-defined categorizations
License plate matching
Association of each vehicle information with the license plate number
GDPR compliant
Systematic blurring of personal data through an in-house anonymization AI model
A leading-edge technology to promote Roadshare habits!
Designed to support the implementation of HOV dedicated lanes, this cutting-edge solution is a real lever for public actors to promote Roadshare and initiate better road sharing mobility policy. Thanks to AI, the smart device reaches the performance needs of all Traffic Management Authorities determined to encourage more eco-friendly road transport modes, through HOV lanes, Low Emission Zones (LEZ) or Roadshare Parking areas.
Very high performance
Accurate detection enabled by a cutting-edge AI expertise and several already trained models
Modular solution
Flexible management rules to be configured by the operator, with the possibility to add some specific functionalities
Easy to deploy
A plug-and-play and low intrusive hardware system to facilitate road-side installation and maintenance
Dedicated interface
An easy-to-handle management interface dedicated to quality check and data analysis
System Integrators
The totem device is compact for easy installation under constrained conditions. The quality qualification tool facilitates the proper evaluation of the overall system performance.
Engineering Firms
Thanks to its technological modularity, the system can be easily adapted to the specific needs of each Mobility Organizing Authority and new functionalities can be added progressively.
A reliable detection
Complementary lateral, frontal and back vehicle detection, ensured by state-of-the-art AI algorithms, enables us to minimize false positives while avoiding false negatives at any time of the day. This very high performance is the result of a huge R&D effort led by our Data Science expert team, using their Computer Vision and Deep Learning latest knowledge to retrain the AI models on thousands of millions of images.
Strict respect of user confidentiality
Thanks to an anonymization technology developed in-house, all personal data – mainly license plates and people silhouettes - are systematically blurred, in strict compliance with confidentiality rules (video surveillance laws and GDPR). All the collected data is deleted within 30 days, and a reversible encryption system ensures that they are only visible to the accredited authorities.
Pilot site setting up on the A7 for VINCI Autoroutes
To support the industrial development of the Roadshare product, VINCI Autoroutes provided Cyclope.ai with an experimentation area on the ASF network for the on-field installation of a first integrated prototype.
Roadshare device installed on Paris ring-road for a one-year evaluation
Following a competitive bidding process, Cyclope.ai, along with Cegelec EDR and SDEL partners, has been selected to implement one of its roadside detection totem pole on the Paris road network. The City of Paris wants to assess the AI solution actual performance upstream from an industrial deployment planned for the Paris 2024 Olympic Games.
Our Roadshare solution selected to evaluate occupancy rates for a large city
Our High Occupancy Detection System goes international : Cyclope.ai has just been selected to supply 3 more devices to measure HOV lanes occupancy rate in a major North American metropolis.
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