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 developing behind you.
Each additionally embody cameras to document site visitors, capturing any incidents for later use to show fault. Velo.AI is out entrance with a product that’s out there 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 bought out their first run, however will value you $399 once they’re again in inventory. They’re utilizing the just lately launched Rasperry Pi AI Equipment, which homes the AI totally onboard a $70 microcomputer (test this interview for extra about that unit, it’s wildly spectacular), so all processing is finished regionally with none want for connectivity. Velo.ai was even featured on Raspberry Pi’s web site 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 will possibly establish the scale and form of the car, and it’s place relative to you. So, it received’t warn you when your buddy rides up rapidly behind you, however will alert for automobiles.
The digicam data and saves your journey’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 gentle) 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 type 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 pace, 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 routinely adjusts its flash sample primarily based on site visitors conduct to higher alert drivers, and routinely adjusts brightness primarily based on ambient gentle. Use it alone and it has inbuilt audio alerts to maintain you abreast of what’s happening behind you. Or pair it with their app for an in depth visible of what’s developing, or along with your biking pc for primary alerts.
