Two startups are bringing AI automobile 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 report site visitors, capturing any incidents for later use to show fault. Velo.AI is out entrance with a product that’s obtainable 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 Equipment, which homes the AI solely onboard a $70 microcomputer (verify 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 web site for this product.
The important thing distinction is that it’s utilizing the digital camera and AI processing to detect autos, not radar. Which means it will possibly determine the scale and form of the automobile, and it’s place relative to you. So, it gained’t provide you with a warning when your buddy rides up rapidly behind you, however will alert for vehicles.
The digital camera data and saves your experience’s footage simply in case. Their app exhibits the place of the automobile, and gives 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
asdf
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 automobile measurement and pace, but additionally the trail, and can activate recording if it predicts an influence, then save that footage on its MicroSD card for straightforward downloading later. It additionally adjusts its alerts based mostly on a passing automobile’s measurement and proximity.
The sunshine robotically adjusts its flash sample based mostly on site visitors conduct to higher alert drivers, and robotically adjusts brightness based mostly on ambient mild. Use it alone and it has in-built 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.
