AI-VIVA Traffic Project Reaches Barcelona Finalist Round

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AI-VIVA Traffic Project Reaches Barcelona Finalist Round

Fremont – October 21, 2026 -- AglaiaSense and Leopard Imaging have been selected as finalists in the fifth urban challenge of Barcelona Innova Lab Mobility (BILM) with AI-VIVA, a proposal to apply artificial intelligence to traffic-light regulation.

The two companies will demonstrate the system live at Smart City Expo World Congress, held November 3–5, 2026, at Fira Barcelona Gran Vía.

AI-VIVA pairs edge-AI cameras with a patented privacy architecture

AI-VIVA (Vision Intelligence for València and Arterials) combines AglaiaSense's edge-AI traffic solutions with Leopard Imaging's patented privacy architecture. The demonstration will feature the MS500 and GS500 cameras and the AglaiaSense AI Box, powered by NVIDIA, which adds local processing to coordinate groups of neighboring intersections.

Cameras discard raw video within 400–800 milliseconds

The cameras run analysis inside the device on Sony IMX500 and IMX501 intelligent vision sensors. They count and classify vehicles, buses, cyclists and pedestrians in real time. Only anonymous metadata leaves the device, and cities can feed it into signal-control software to adapt traffic lights to actual demand.

"Cities want safer, smoother streets without turning every crossing into a surveillance point," said Leon Luo, CEO of AglaiaSense.

Field tests show detection accuracy above 95%

AglaiaSense solutions are deployed across North America and Asia. In field tests, the systems achieved detection and counting accuracy above 95%. The company also won first place in the Pedestrian Safety Challenge Hackathon, run by the Edge AI Foundation (formerly the tinyML Foundation) and the City of San José.

The City of Lakewood, Colorado, compared the GS500 with traditional IP cameras and LiDAR on real roads. It found the GS500 more accurate, more energy-efficient and less costly to deploy. At a high-risk crossing where pedestrians often crossed outside the crosswalk, the system alerted approaching drivers in real time.

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