Helsinki turns to AI to spot e-scooter crashes before they happen
Briefly

Helsinki has initiated a pilot project featuring 40 e-scooters equipped with AI-driven sensors designed to monitor rider behavior and identify safety risks in real time. Supported by the EU and facilitated by Forum Virium Helsinki, the initiative aims to transform city approaches to e-scooter safety in response to increased scrutiny and accident rates. These sensors, created by See.Sense, track sudden movements, alerting to potential hazards. The data processed via Vianova's platform aims to inform urban mobility strategies, enhancing safety amid a backdrop of regulatory pressures on micromobility operators across Europe.
Each vehicle is fitted with sensors developed by UK-based See.Sense, which detect sudden braking, swerving, and vibrations that may signal road hazards.
By using advanced technology, we can help the city gain new information about accidents and near misses, as well as places where risky situations are concentrated, said Noora Reittu.
Read at TNW | Deep-Tech
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