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WT901BLECL MPU9250 High-Precision 9-axis Gyroscope+Angle(XY 0.05° Accuracy)+Magnetometer with Kalman Filter, Low-Power 3-axis AHRS IMU Sensor for Arduino

WT901BLECL MPU9250 High-Precision 9-axis Gyroscope+Angle(XY 0.05° Accuracy)+Magnetometer with Kalman Filter, Low-Power 3-axis AHRS IMU Sensor for Arduino

【 High Performance 】Accurate output data: 3-axis XYZ (Pitch Roll Yaw) Acceleration + Gyro + Angle+ Magnetic field, Bluetooth coverage range: within 50meters (without obstacles like walls)

【 Robust Design 】low consumption Bluetooth 5.0 (battery life about 10 hours), compatible with Andriod Smartphone (Support multiple-connection up to 4 sensors with 1 Android phone), Windows computer

【 Worry-free Support 】Provide free PC software, Android App(Search WITMOTION on Play Store), Manual, Datasheet, Tutorial link: https://github.com/witmotion/WT901BLECL

【 WITMOTION ADVANTAGE 】Patented zero-bias automatic detection calibration algorithm can capture the motion state of the sensor and automatically calibrate the gyro bias, built-in Kalman filtering, digital algorithm

【 What You Get 】1*WT901BLECL BLE 5.0 sensor Type-C version, 1*Data Cable, 1* Guiding Card, Lifetime friendly customer service (Please kindly contact us if you need any help.)


Download Center

Complete Tutorial

Video

Instruction Demo

WT901BLECL BLE 5 0 Bluetooth Inclinometer Instructions Video


WT901BLECL Bluetooth Inclinometer Use Instructions with Android Smartphone


FAQ

  • Q: Is the iOS APP available now?

    A: The iOS APP is under construction at present. The sample code of iOS APP can be provided if customers have requirements.
    Link to sample code of iOS APP:
    https://drive.google.com/open?id=1hEb_kDNtK1ydkAwWcPWExnVoR7Q4i5NH

  • Q: Is the sensor compatible with MCU like Arduino?

    A: The sensor is Bluetooth 5.0 communication, built-in nRF52832 chip.
    If you need to connect the sensor with Arduino via Bluetooth, it is required to build a same nRF52832 chip on Arduino board as a master.
    And the sensor can work as slave. So the sensor can communicate. It is recommended that you can study the sensor's communication protocol for research and development.
    Please be noted that the service related to the sensor's integration is not supported.