Arduino Tiny Machine Learning Kit Nano 33 BLE Sense Lite
- Arduino Tiny Machine Learning Kit
- Nano 33 BLE Sense Lite
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Arduino Tiny Machine Learning Kit Nano 33 BLE Sense Lite
The Arduino Machine Learning Kit AKX00028 is an official Arduino product designed. Which is the practice of running machine learning models on low-power, resource-constrained microcontrollers. This kit is particularly well-suited for educational purposes and prototyping edge AI applications.
Technical Specification:
- Arduino Nano 33 BLE Sense Lite Board:This is the heart of the kit.
- Microcontroller:Nordic nRF52840 (32-bit ARM Cortex-M4F with FPU, 64 MHz). This powerful yet energy-efficient chip is ideal for embedded machine learning.
- Memory:1MB Flash memory and 256KB SRAM.
- Connectivity:Bluetooth Low Energy (BLE) 5.0, enabling wireless communication.
- 9-axis IMU:Accelerometer, Gyroscope, and Magnetometer (e.g., BMI270 & BMM150 in Rev2, LSM9DS1 in earlier versions) for motion, orientation, and gesture detection.
- Digital Microphone:(e.g., MP34DT06JTR) for audio processing and voice control.
- Barometric Pressure Sensor:(e.g., LPS22HB) for atmospheric pressure and altitude sensing.
- Camera Module:A VGA (640×480) CMOS camera module, enabling basic image capture for TinyML vision applications.
- Arduino Tiny Machine Learning Shield:A custom shield that simplifies connecting the camera and other components to the Nano 33 BLE Sense Lite board, making prototyping more convenient.
- USB A to Micro USB Cable:For connecting the Nano 33 BLE Sense Lite to your computer for programming and power.
- Onboard Sensors (Lite version):The “Lite” version of the Nano 33 BLE Sense includes a robust set of sensors.
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