Two startups are bringing AI car recognition to bike tail lights, upping the ante for radar detecting choices by providing you with extra and higher information about what’s arising behind you.
Each additionally embody cameras to document visitors, capturing any incidents for later use to show fault. Velo.AI is out entrance with a product that’s accessible now, and Survue is prepping a Kickstarter Marketing campaign to get rolling. Right here’s a fast primer on every:
Velo.ai Copilot
The Velo.ai Copilot has already offered out their first run, however will price you $399 after they’re again in inventory. They’re utilizing the lately launched Rasperry Pi AI Package, which homes the AI solely onboard a $70 microcomputer (check this interview for extra about that unit, it’s wildly spectacular), so all processing is completed domestically with none want for connectivity. Velo.ai was even featured on Raspberry Pi’s website for this product.
The important thing distinction is that it’s utilizing the digicam and AI processing to detect autos, not radar. Which means it could determine the scale and form of the car, and it’s place relative to you. So, it received’t provide you with a warning when your buddy rides up rapidly behind you, however will alert for vehicles.
The digicam information and saves your experience’s footage simply in case. Their app exhibits the place of the car, and offers audio and visible cues for you in addition to visible (blinking mild) cues for the drivers. This V1 version solely pairs with iOS and Android telephones, not biking computer systems, although.
Survue Taillight
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The Survue has a smaller, narrower kind issue that appears extra just like the Garmin, Bryton, and Trek radar lights, which can attraction to extra efficiency riders.
They declare it not solely differentiates between car measurement and velocity, but additionally the trail, and can activate recording if it predicts an affect, then save that footage on its MicroSD card for simple downloading later. It additionally adjusts its alerts primarily based on a passing car’s measurement and proximity.
The sunshine mechanically adjusts its flash sample primarily based on visitors habits to higher alert drivers, and mechanically adjusts brightness primarily based on ambient mild. Use it alone and it has inbuilt audio alerts to maintain you abreast of what’s occurring behind you. Or pair it with their app for an in depth visible of what’s arising, or along with your biking laptop for fundamental alerts.