Official Arduino Tiny Machine Learning Kit (AKX00028)

Arduino TinyML Kit – Learn & Deploy Machine Learning on Microcontrollers

The Tiny Machine Learning Kit is designed to bring edge AI and machine learning to life on microcontrollers. Developed in collaboration with EdX, it pairs seamlessly with the TinyML specialization courses and enables you to deploy real-world ML models using TensorFlow Lite Micro. Equipped with the Arduino Nano 33 BLE Sense, a camera module, and a TinyML shield, the kit supports sensing motion, sound, light, color, proximity, and more — all in a compact and powerful setup.

Specifications:

• Board: Arduino Nano 33 BLE Sense (no HTS221 temperature/humidity sensor)

• Processor: 32-bit ARM Cortex-M4 @ 64 MHz

• Sensors: IMU (accelerometer, gyroscope), magnetometer, microphone, barometer, light, color, proximity, gesture

• Camera Module: OV7675 – VGA CMOS camera

• Shield: Arduino Tiny Machine Learning Shield – simplified prototyping

• Connectivity: Bluetooth Low Energy (BLE)

• Interface: USB A to Micro USB cable

• Software: Compatible with TensorFlow Lite Micro, Arduino IDE

• Learning Resources: Designed for EdX TinyML specialization courses

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