Meet the ROCKBROS 2-in-1 Speed & Cadence Sensor—a compact, reliable sensor designed for road, gravel, and mountain biking. It cleanly delivers either speed or cadence data via Bluetooth and ANT+, pairing smoothly with your bike computer or cycling app for real-time metrics.

• 2-in-1 Design: One compact unit that provides either speed or cadence data in real time. If you need both metrics simultaneously, you’ll want two sensors to cover each axis.
• Broad Connectivity (Bluetooth & ANT+): Seamless pairing with major bike computers, smartwatches, indoor trainers, and cycling apps to keep your data centralized and easy to analyze.
• Two Operating Modes: The sensor runs in either speed mode or cadence mode at a time, offering a slim, straightforward setup for focused training needs.
• IP67 Weather Resistance: Built to withstand rain, splashes, and dusty trails, ensuring dependable performance during outdoor rides (not suitable for long submersion).
• Long Battery Life: Up to 300 days of operation on a single battery thanks to efficient design—great for long-distance training without frequent replacements.
• Durable ABS Construction: Tough, impact-resistant housing that protects the sensor on rough terrain, making it suitable for MTB, gravel, and road cycling.
• Install Note: When used for speed measurement, ensure the inner hub space is wider than 38 mm for proper fit and accurate data.

This sensor helps you train smarter by delivering precise ride data with a simple setup. Its broad compatibility means you can use it with your existing bike computer or cycling app, keeping your training logs consistent across road, gravel, and MTB rides. The rugged build and IP67 protection give you confidence to ride in diverse conditions, while the long battery life minimizes maintenance. If your training plan requires both speed and cadence, consider pairing two sensors to capture full data without sacrificing a clean cockpit. Ideal for daily commuters, serious hobbyists, and endurance athletes, it offers dependable, straightforward data collection for real-world results.