Six Axis IMU Breakout Board With Sensor Fusion And Machine Learning Core For Real Time AI Inference, High Accuracy 16 Bit Accelerometer And Gyroscope, Temperature Sensor, I2C And SPI Interfaces
✔️ Single-unit breakout with 16-bit accel/gyro, I2C/SPI
Introducing the LSM6DSV16XTR-based six-axis IMU breakout board, a compact sensor suite combining a 3-axis accelerometer and 3-axis gyroscope with a programmable FSM and machine-learning core for on-device AI inference. This breakout is ideal for wearables, robotics, drones, and human-machine interfaces, delivering motion sensing, gesture recognition, and UI improvements while keeping MCU load lightweight. It features on-sensor sensor fusion for low power operation, advanced motion-detection functions, a Qvar electrostatic touch channel, and an onboard analog hub to digitize external analog inputs.
✅ On-board FSM and MLC for real-time AI inference up to 960 Hz
✅ Sensor-fusion low-power (SFLP) to reduce MCU workload and enable always-on gestures
✅ Adaptive self-configuration automatically adjusts measurement range and sampling rate
✅ Qvar electrostatic sensor with analog hub for touch interfaces and external analog input
✅ Embedded motion-detection: pedometer, step counter, tilt, 4D/6D orientation
💡 What is a six axis IMU breakout with sensor fusion and ML core used for in real-time AI inference? This handy device lets you add motion sensing and edge AI to projects. - Real-time motion tracking and gesture recognition - On-board FSM and ML Core enable edge AI inference - Low-power always-on sensing for wearables and robotics - Flexible I2C and SPI interfaces for easy integration