This Mouse Trap project is an Arduino Uno Q–based prototype designed to detect and capture mouse without killing them. A camera monitors the inside of the trap, while an AI model identifies when a ...

This project runs walking, get-up, pick, and roulade policies on an XGODuck built around the Arduino Uno Q. It is based on Microduck by Pollen Robotics. The policies here follow that project: 15 ...

Arduino project that drives an ILI9341 SPI TFT (240×320) and a QCA7005 HomePlug Green PHY modem (compatible with QCA7000) from an ESP32-S3. Passively decodes the ISO 15118 / DIN 70121 charging session ...

A pocket-sized circuit board measuring just 25 by 25 millimeters could change how researchers build wearable health devices. Engineers have unveiled TinZr, a compact, fully wireless microcontroller ...

Arduino UNO Q powered node that identifies wildlife and human intruders on-device with Edge Impulse, then radios ranger alerts over LoRa. Kenya's conservancies protect elephants, big cats, rhinos and ...

The tiniest AI model I've tried on a Raspberry Pi 5 is only 29MB, and it's surprisingly handy ...

ESPHome is the sole reason I was able to build several ESP32 smart sensors without losing my patience ...

I'm not a developer, but I was able to use locally-installed AI to create a writing app suited to my needs. Here's how.

Build custom CAD designs with natural language prompts by integrating ChatGPT 6 Astra and FreeCAD. Output precise Python code for 3D printing.

Run AI locally using devices ranging from an ESP32S3 chip to an RTX 4090 GPU. Match your hardware bandwidth and capacity to ...