Luna Systems Launches Camera for Bike Safety

AI-enabled device developed by Luna Systems aimed at improving safety for micromobility vehicles

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Luna Systems, a specialist in AI-powered safety solutions for micromobility, has announced a crowdfunding campaign for what it claims is a groundbreaking product.

Launching on June 5, Luna Oculus consists of a compact, rear-mounted camera that seamlessly connects to a smartphone app. The system functions as an AI-powered “rear view mirror”, alerting riders when rear vehicles approach too closely.

Functioning on both electric, as well as traditional bikes, the camera connects to a smartphone via Wifi and provides an app interface with a rear-view livestream with a simple and non-distracting visual warning overlay. The app also triggers audio warnings, which intensify the closer a vehicle approaches. The visual warning interface, as well as the warning distance can be adjusted based on user preference.

Luna Oculus uses computer vision to detect approaching vehicles. The app will provide customisable audio and visual alerts, giving cyclists vital seconds to react when cars get too close. A feature enables cyclists to view where these events occur most frequently, enabling them to identify and plan safer routes

Luna Oculus functions as a dash cam, recording rides. In the event of a near miss, the system captures video evidence, providing cyclists with crucial support. Luna Oculus has been developed to date as a business-to-business (B2B) solution, with testing conducted in collaboration with the cycling industry. This Indiegogo fundraiser campaign marks a shift towards direct-to-consumer sales, Luna Systems reports. It is seeking community support to fund the production of a consumer-friendly camera and further development of the existing smartphone app.

Despite growing investments in cycling infrastructure, more than half (52 per cent) of cyclists globally report feeling unsafe on the road, according to an Ipsos survey. Luna Oculus aims to tackle this challenge, leveraging computer vision to provide not only individual safety with real-time rear vehicle proximity awareness, but also an opt-in city data share functionality. The recently announced EU Directive on Cycling, emphasises the importance of improved cycling data collection.

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