As cities worldwide accelerate their smart mobility programs, one persistent tension keeps resurfacing: how do you collect the data needed to run better public transport without turning every bus and tram into a surveillance environment?
French technology company Acorel believes it has found the answer — and it doesn’t involve a single surveillance camera.
The company’s passenger counting and flow management system uses overhead sensors to process movement in real time, measuring boardings, alightings, occupancy rates, and crowd dynamics across urban transit networks. Critically, no video is recorded, no footage is stored, and no individuals are identified or tracked. All data is fully anonymized from the moment it is captured.
The result is a live operational picture of network performance that transit operators can actually act on. Managers can monitor vehicle occupancy as it shifts throughout the day, identify where congestion is building before it becomes a problem, redistribute fleet capacity across routes, and feed accurate ground-level data into long-term infrastructure planning — all without any of the legal or ethical complications tied to traditional video surveillance systems.
For city operators under pressure to do more with less, that combination matters. Urban transit networks today face rising passenger volumes, constrained budgets, environmental performance targets, and growing public expectations around service quality. At the same time, European and global data protection standards make personal data collection in public spaces increasingly fraught.
Acorel’s system is built from the ground up around GDPR compliance and what the company calls privacy-by-design principles — meaning data protection is embedded into the architecture of the technology itself, not bolted on after the fact.
“Computer vision can be a powerful optimization tool when it is designed responsibly,” said Dimitri Rudenko, Business Development and Project Director at Acorel. “Efficiency and data protection are not contradictory — they are complementary.”
The technology is designed to function across buses, trams, trains, and other public transit environments, maintaining accuracy under variable lighting conditions and high passenger density — the exact scenarios where reliable data is hardest to gather and most needed.
As urban mobility strategies grow more sophisticated, the demand for infrastructure-level intelligence that public authorities can deploy without triggering privacy concerns is only going to increase. Acorel’s approach positions computer vision as an operational layer for the modern city — not a tool for watching its residents.
More information is available at acorel.com or by contacting [email protected] / +33 (0)4 75 40 59 79.
