AI Smart Jump Rope powered by Zhongke Lanxun BT

Client

A fitness equipment company looking to digitize cardio workouts with precise jump tracking and app integration.

Challenge

Accurately counting jumps while filtering out wrist twirls, stumbles, and false movements, using minimal processing power in the rope handle.

Product Concept & Architecture

We used the Zhongke Lanxun AB5325A Bluetooth SoC integrated into the handle, combined with a TDK 6-axis IMU and a Hall-effect sensor on the rotor.

Engineering Solution

Rather than relying solely on the IMU, we used a dual-sensor fusion approach. The Hall-effect sensor counts physical rotations, while the IMU detects the user's wrist shock patterns. A lightweight Kalman filter runs on the AB5325A to cross-reference the data, ensuring 99.9% counting accuracy. Data is synced to the app via BLE.

Result

Flawless jump counting with zero false positives. 60-day battery life on a 300mAh Li-Po. Data syncs seamlessly with Apple Health and Google Fit.