Arduino Nicla sense ME

Thanks to it's tiny size (22.86x22.86mm) and robust design, the board is suitable for projects that need to combine sensor fusion and AI capabilities on the edge. Featuring a 9DoF smart motion sensor and a 4DoF environmental sensor with AI capabilities, the board developed with Bosch^® Sensortec allows for a wide range of IoT applications. Having Arduino’s signature simplicity of integration and scalability, it is also perfect for research projects, rapid prototyping and development.

Easily analyse Motion and Environment measuring rotation, acceleration, pressure, humidity, temperature, air quality and CO² levels.

Key features

• Intelligent sensing on the edge: powerful 64 MHz Arm^® Cortex M4 (nRF52832) microcontroller
• Robust hardware, including industrial-grade sensors with embedded AI
• Tiny Zie (22.86 x 22.86mm), packed with features
• 24/7 always-on sensor data processing at ultra low power consumption

Additional features

• The Nicla Sense ME houses 4 low power sensors in a small footprint enabling powerful data fusion capabilities on the edge.
• Analyze 'Motion' and 'Environment' with industrial grade Bosch sensors that can accurately measure rotation, acceleration, pressure, humidity, temperature, air quality and CO2 levels. 
• Featuring a 9-axis inertial measurement unit
• Bluetooth Low Energy connectivity
• Make your own industrial grade wireless sensing network with the onboard state-of-the-art sensors from Bosch SensorTec.
  • BHI260AP: An AI smart sensor hub with integrated 6-axis IMU (3-Axis Accelerometer + 3-Axis Gyroscope) for activity detection, powered by a 32 Bit Synopsys DesignWare ARC™ EM4™ CPU.
  • BMP390: A high performance pressure sensor operating between 300 - 1250 hPa with low drift.
  • BMM150: A low noise magnetometer with a typical range of ±1300μT in the X,Y axis and ±2500μT in the Z axis.
  • BME688: An Environmental sensor that can measure pressure, humidity and temperature. Additionally, the onboard smart gas sensor can also help in determining the air quality index by detecting a broad range of gases, including Volatile Organic Compounds (VOC).

Applications

• Predictive maintenance
• Robotics - robots/rovers stabilization
• Cobotics & Exoskeleton
• Manufacturing process quality
• Wireless sensor network reference design
• Distributed industrial sensing
• Edge ML/AI