Arduino announced it has collaborated with M5Stack to develop the new compact and powerful Nesso N1 IoT development kit. This ...
In this video, I’m building a LoRaWAN Class A sensor node using an ESP8266, BME680 environmental sensor, and REYAX RYLR993 ...
This DIY AI Health Assistant Trained with Edge Impulse, the Edge ML model detects real-time anomalies in SpO₂ and heart rate, ...
Real-time environmental monitoring is increasingly important in agriculture, industrial automation, smart homes, and healthcare. The real-time data monitoring ...
TinyML is an incredibly powerful piece of software, and you can easily train your own model and deploy it on an ESP32.