Real-time environmental monitoring is increasingly important in agriculture, industrial automation, smart homes, and healthcare. The real-time data monitoring ...

In this video, I’m building a LoRaWAN Class A sensor node using an ESP8266, BME680 environmental sensor, and REYAX RYLR993 ...

Microcontroller units (MCUs) are single-chip computers optimized for performing embedded computing tasks like controlling a ...

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

The Open Book Touch also runs open source firmware. The default firmware features a UI framework called Focus, which is based ...

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

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Researchers at the University of Arkansas and the University of Michigan have reported the first use of ultra-low power ...

Arduino announced it has collaborated with M5Stack to develop the new compact and powerful Nesso N1 IoT development kit. This ...

The $50 sensor runs on two coin cell batteries so you don’t need a nearby power source for installation.

One of the joys of writing up the entries for the 2025 Component Abuse Challenge has come in finding all the different alternative uses for the humble transistor. This building block of all modern ...