#3849 in Semiconductor Products #24884 in Electronics
Style:
Semiconductor Products
Product No.:
2100798237
Description:
Arduino AKX00028 Extension Module (AKX00028)
The Arduino® Tiny Machine Learning Kit is an innovative development kit designed to introduce users to the world of embedded machine learning. Developed by Arduino, a globally recognized leader in open-source electronics and microcontroller platforms, this kit provides everything needed to build intelligent applications directly on edge devices. The package includes an Arduino Nano 33 BLE Sense board with onboard sensors (such as microphone, accelerometer, gyroscope, temperature sensor), an OV7675 camera module for image recognition tasks, and a USB cable for easy connectivity. With support for TensorFlow Lite and comprehensive online tutorials, users can quickly start creating projects like voice recognition systems, gesture detection tools, or environmental monitoring solutions?all without needing cloud connectivity.
This kit is ideal for students, educators, makers and professionals who want hands-on experience with artificial intelligence at the hardware level. Its compact size makes it perfect for portable prototypes or IoT deployments where low power consumption is crucial. By enabling AI processing locally on the device (?at the edge?), privacy is enhanced since data does not need to be sent externally.
Arduino stands out not only through its user-friendly products but also due to its commitment towards sustainability: they use recyclable packaging materials and promote energy-efficient designs within their product lines. By choosing this kit from Arduino you are supporting responsible manufacturing practices while gaining access to cutting-edge technology that empowers innovation in fields such as healthcare diagnostics or smart home automation.
Purchasing the Arduino Tiny Machine Learning Kit means contributing positively both technologically?by fostering skills relevant for future challenges?and ethically?by backing a company dedicated to environmental responsibility.