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The Most Intelligent Bicycle Taillight, RAYO

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Hauteworks Co., Ltd.

Rm 214-2, Bldg 35, Seoul National University 1, Gwanak-ro Gwanak-gu Seoul
Contact name
Seonhyeok Kang

Quick Information

  • Place of Origin: Korea


Make Your RIde Unique, Together!
The Most Intelligent Bicycle Taillight, RAYO
Brake Light
Safety first. On slowing down, RAYO emits a distinct LED pattern at high brightness warning nearby traffic and riders behind. Advanced sensor fusion algorithms are employed to exactly measure the deceleration of the bike.
Pattern Customization
The LED blinking patterns on RAYO are fully customizable. Have fun designing and implementing your unique LED pattern to further differentiate yourself.
LED Sync
Enhance visibility and companionship as a group by synchronizing the LED patterns of multiple RAYOs. Synchronization is achieved effortlessly, without the hassle of pairing devices.
Application Integration
RAYO connects with your smartphone app via Bluetooth Smart to be easily configured. Besides, as new features are developed, firmware and application updates keep RAYO up-to-date.
Touch Control
A high sensitivity touch button makes it effortless to operate RAYO even with gloves and in moist conditions.
When enabled, RAYO alerts you through your smartphone with the slightest of movements detected on your priceless bike. Take your coffee in peace of mind.
Dimensions 82mm x 35mm x 45mm(excluding strap)
Material Polycarbonate housing
Modes Up to 4 Customizable patterns
Illuminant 3 X Cree XLamp XQ-A (max. 110lm)
Run Time 40h(lower power mode)
Cell Type Li-Po 1400mAh
Charge Time 3h 30m(@500mA)
Charging Port USB Micro B
Wireless Connectivity Bluetooth Smart enabled
Our log-term mission is to help create an environment where people can ride bicycles more conveniently and safety. To this end, we plan to provide IoT services using RAYO. In the future, RAYO will be able to interact with street lights, traffic signs, and vehicle navigation systems to ensure the safety of both cyclist and nearby traffic. Furthermore, by collecting large amount of anonymized data through RAYO such as traffic volume, road conditions, and areas of frequent accidents, city planners will be able to systematically improve the infrastructure of the city. By using RAYO, everyone will be contributing to creating a safer, greener, and smarter city.

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