The LILYGO T-BHI260 V1.0 revolutionizes motion sensing with its self-learning AI algorithms and integrated 6-axis inertial measurement unit (IMU). Designed for next-generation wearable and IoT applications, this compact sensor module delivers adaptive motion tracking through a simple I2C interface – perfect for fitness tech, navigation systems, and industrial automation.
Features
🧠 AI-Enhanced Motion Intelligence
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Self-learning software continuously optimizes tracking accuracy for user-specific movement patterns
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Pedestrian dead reckoning: Always-on position tracking without GPS dependency
🏃 Advanced Activity Recognition
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Personalized fitness analytics: Counts reps, detects exercise form, and calculates calorie burn
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Swim stroke analysis: Identifies swim styles (freestyle/breaststroke) and lap counting
📡 Plug-and-Play Integration
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Standard I2C interface (, , pins clearly labeled)
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Low-power operation: 3.3V supply (, pins) with interrupt-driven efficiency
🔧 Industrial-Grade Hardware
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6-axis IMU (accelerometer + gyroscope) with ±0.1° tilt measurement precision
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V1.0 PCB design (2024-11-08 production) with dual-layer component layout
Technical Specifications
| Parameter | Details |
|---|---|
| Sensor Type | 6-axis IMU (Accelerometer + Gyroscope) |
| AI Capabilities | Adaptive motion learning, activity classification |
| Interface | I2C (, , ) |
| Voltage | 3.3V DC (±5%) |
| Dimensions | Compact module (exact size N/A in image) |
| Key Applications | Wearables, drones, robotics, VR/AR |
Developer Resources
ℹ️ Product Documentation
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Access I2C protocol guides and AI motion libraries on LILYGO GitHub .
💻 Technical Support
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Submit sensor fusion algorithm queries via LILYGO's embedded systems forum.
What's Included
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T-BHI260 V1.0 Sensor Module ×1
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(Optional) 10cm I2C breakout cable (not shown in image but typically bundled)