Escooter providers are forever seeking ways to facilitate, promote, and enforce safe and responsible ridership.
Companies are increasingly turning to AI to aid their efforts.
Uber can then notify users of improper parking or issue penalties.
Chicago escooter company Veoridedebuted helmet detection tech in 2020.
Riders upload a photo of themselves wearing a helmet to the VeoApp and receive a ride discount.
The company can also see if an escooter is standing up and parked in a rack.
Users riding on the sidewalk receive an audible alarm.
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Vehicle Intelligence goes underneath the hood
AI also provides vehicle safety insights.
The software can slow down and stop rides autonomously and alert riders to rule violations.
Theres also the ability to generation collision reports in the event of a crash.
Repeat offenders cannot use the escooters again, which chronicles both unsafe and safe behaviors.
This individual Safety Rating then delivers customized in-app and SMS safety training.
This will combine Drover AIs computer vision and machine learning platform with cameras, sensors and onboard computing power.
This enables an escooterto understand its surroundings in real-time and assist riders in making safe riding decisions.
The escooters currently use onboard sensors to monitor the health of critical vehicle elements like battery and motor.
What about double riding?
Technology already exists to help address the problem.
Do ebikes get your wheels spinning?
Do self-driving cars get you all charged up?
Story byCate Lawrence
Cate Lawrence is an Australian tech journo living in Berlin.
