Authored by embedded ML specialists with extensive experience in ESP32 voice recognition architecture, TinyML optimisation, ...

Over time, I've found different uses for it, and the most recent way that I'm using it is likely the one I'll settle on.

Here’s a look at six wireless IoT development kits that enhance multiprotocol design, from BLE and Zigbee to LoRa and Thread.

TinyML is an incredibly powerful piece of software, and you can easily train your own model and deploy it on an ESP32.

Learn how HUSKYLENS 2 simplifies AI vision with its dual-core processor, modular hardware, and compatibility with popular ...

DFRobot presents HUSKYLENS 2, a powerful yet easy-to-use AI vision sensor designed to inspire makers, educators, competition teams, and AI enthusiasts around the globe. Built on a high-performance 6 ...

Oddly Specific Objects founder Joey Castillo has designed a couple of interesting open hardware projects over the years.

This DIY AI Health Assistant Trained with Edge Impulse, the Edge ML model detects real-time anomalies in SpO₂ and heart rate, ...

Now, to use the height hold mode, make sure to select the height hold mode in the Assist mode dropdown menu. You can set your ...

Google has been highlighting its Gemini API and its application for the IoT (the Internet of Things). Specifically, the example it gives is of a voice-controlled LED ring using an Espriff ESP32 board ...

A robust, IoT-based fall detection system utilizing YOLOv11 and ESP32-CAM for real-time monitoring in multi-person environments. This project captures image streams from ESP32, processes them ...

Halloween is about tricks and treats, but who wouldn’t fancy a bit to drink with that? [John Sutley] decided to complete his Halloween party with a drink dispenser looking as though it was dumped by a ...