The RS 1000 is an AI-powered digital rear-view system for cyclists. It combines a high-definition camera, intelligent hazard detection, and integrated smart lighting to provide complete awareness of traffic approaching from behind without having to turn your head.

Unlike traditional mirrors that provide limited field of view and no intelligence, the RS 1000 offers a 120° wide-angle view, AI-powered hazard detection that actively warns you of approaching dangers, automatic incident recording, and integrated smart lighting that includes a brake light function. Mirrors show you what's behind you—the RS 1000 tells you what it means.

Yes. The RS 1000 is fully compliant with cycling regulations in the EU, UK, US, and most other countries. The lighting system is StVZO-certified, making it road-legal worldwide. The camera functionality is for personal safety use and does not violate privacy laws when used as directed.

The RS 1000 is rated IP55 and IP57, meaning it's protected against dust ingress and can withstand water jets and temporary immersion. In real-world terms: ride through a downpour, splash through puddles, or get caught in a snowstorm—your RS 1000 will keep working.

The RS 1000 provides approximately 4 hours of continuous use on a full charge. For most rides, this is more than sufficient. For longer journeys, the device can be recharged to 80% in 45 minutes or connected directly to compatible e-bike power systems for extended operation.

The Ride Safety app requires iOS 14.0 or later for Apple devices, or Android 9.0 or later for Android devices. Your phone needs Bluetooth 5.0 capability for optimal performance. The app is optimized to minimize battery consumption, but we recommend having at least 50% battery before setting out on longer rides.

The RS 1000 works with any smartphone mounting system that secures your phone to your handlebars or stem. For optimal integration, we recommend the CYCLYK 2.0 phone mount, which is included free with the first 100 orders.

The RS 1000's camera feeds real-time video to a neural network that has been trained on over 2 million cycling scenarios. The AI identifies vehicles, calculates their speed and trajectory relative to your bike, and determines if they represent a potential hazard. It considers factors like closing speed, proximity, and your own velocity to provide context-appropriate warnings.

The system primarily detects vehicles approaching from behind that may pose a collision risk, including cars, motorcycles, trucks, and buses. It's particularly effective at identifying vehicles approaching at high speed or on an intercept trajectory. The AI continuously improves through anonymous machine learning to recognize additional hazard types.

The RS 1000 provides graduated alerts based on threat level. Initial alerts are visual only, displayed on your smartphone screen. As the threat level increases, audio alerts are added. For critical warnings, vibration alerts (if supported by your phone) provide tactile feedback. The system is designed to alert you without causing panic or overreaction.