Description: 1. The Arduino Tiny Machine Learning Kit is an innovative solution that combines the versatility of Arduino microcontrollers with machine learning capabilities. 2. This kit includes a tiny board, an infrared distance sensor, and a temperature sensor, along with an ML5 library and examples for easy implementation of machine learning projects. 3. Users can create custom machine learning models using popular frameworks like TensorFlow Lite and Deeplite without requiring external hardware or powerful computers. 4. The Arduino Tiny Machine Learning Kit offers low power consumption, making it perfect for IoT projects with battery-powered sensors or long-term monitoring applications. 5. With onboard memory and built-in machine learning libraries, this kit allows users to build intelligent systems with minimal additional components. 6. The Arduino Tiny Machine Learning Kit is compatible with various machine learning tasks such as image recognition, object detection, sound classification,
| Specification | Details |
|---|---|
| Device Type | Arduino-based Microcontroller Board |
| Processor | ESP32 (Dual-core 240 MHz) |
| Memory | 2 MB External Memory 16 KB SRAM |
| Input/Output Pins | 20 GPIO pins |
| Communication | Wi-Fi Bluetooth 5.0 UART |
| Operating System | MicroPython (Machine Learning Support) |
| Sensor Suite | Accelerometer Gyroscope Magnetometer |
| Power Supply | DC 3.7-4.2V Lithium-ion Battery |
| Dimensions | 65mm x 40mm |
| Weight | Approximately 20 grams |
| Machine Learning Library | TensorFlow Lite (ML Kit integrated) |
