Synapsi wins €12,500 and advances to the second phase of AcceleraImpresa 2025. Pilot project launched with Roma Servizi per la Mobilità to bring the ‘Yellow Box’ model to Rome

di Synapsi SynapsiOctober 31, 2025 • 1 min. di lettura

As part of the AcceleraImpresa program by the CTE of Rome, we are testing a Computer Vision system to monitor intersections and improve city traffic management. A project that brings to Rome an advanced traffic management model based on real-time video analysis.

Image of the event poster

Rome, October 31, 2025 – Synapsi was the winner of the second phase of the AcceleraImpresa 2025 program organized by the Casa delle Tecnologie Emergenti of Rome. Only 4 out of the 12 startups selected for the program advanced to the second phase and received a €12,500 grant to start experimentation. Synapsi will dedicate the funds to a pilot project with Roma Servizi per la Mobilità focused on applying Computer Vision technologies for intelligent traffic management, as presented at the Pitch Day on October 10, 2025.

The pilot is inspired by the British “Yellow Box” model used in the UK to prevent blockage of the busiest intersections. The developed system identifies in real time vehicles stopped in the center of the intersection due to congestion and immediately sends a signal to the traffic control center.

Through automated video analysis, the system can detect critical situations, monitor traffic flow dynamics, and assist operators in making timely decisions to reduce slowdowns and improve traffic fluidity.

A step toward truly adaptive traffic lights

At the end of the pilot, a direct integration phase with smart traffic lights is planned, allowing for dynamic adjustment of traffic light timings based on signals generated by AI. This approach will enable adapting intersection behavior to actual road conditions with the goal of reducing congestion and wait times.

The collaboration with Roma Servizi per la Mobilità represents an important step toward modernizing urban mobility systems in the capital and confirms the potential of Computer Vision technologies to improve the quality of public services.

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