The device, which mounts below the bike seat, is both a camera and a rear light that puts out 90 lumens. The 1080p camera takes in everything behind the bike, which is then analyzed by an onboard AI model to identify cars, trucks and buses, as well as pedestrians and other cyclists. The live feed is sent to an accompanying smartphone app, so it can be mounted to the handlebars and used like a rearview mirror.
You can choose when you want the system to send visual and audio alerts to your phone based on how close detected objects are. Since all the AI processing happens on the device, there’s no lag in the feed or notifications, and your data is secure unless you choose to share it.
“Our product will focus on the rider and letting them know when they are at increased risk,” said CEO Andrew Fleury. “If possible, we want the rider to take action to reduce their risk and try to assume a better road position relative to the situation.”
