Computer vision-enabled scooters are gaining popularity with mobility companies looking to gain city permits
IoT automates urban scooters
IoT automates urban scooters
Computer vision scooters are gaining popularity among mobility companies looking to get city permits
Drover AI, an LA-based startup that uses IoT to improve scooter safety, has closed its latest round of funding with $5.4 million for its IoT-powered module, which has already been deployed. e-mobility companies including Beam, Spin, and Voi.
While public micromobility options are increasingly popular, typical GPS systems do not have proper geofencing to ensure safe navigation and parking of scooters. As a result, mobility operators are increasingly adapting technology similar to the driver assistance systems (ADAS) found in cars to meet city regulations and ensure their products receive permits – specifically addressing the concerns of electric scooter riders crashing into pedestrians.
The AI Drover offers an example of this technology with a camera and computing system to monitor and analyze the rider’s environment, issuing checks to the scooter rider to keep roads safe and prevent accidents. Park and ride on sidewalks.
The PathPilot system will give the rider a warning if they are speeding and can even slow their journey to a stop if it detects they are driving on pavement. Funds raised in the last investment round are to go into the last iteration of the system; PathPilot Lite, which the company says is more integrated, better, and cheaper.
Through PathPilot, Drover AI also collects a wealth of data about traffic patterns and rider behavior; data with potential use cases to inform decisions about urban infrastructure, such as the location of bike lanes.
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