Predict worker–forklift collisions 1–3 s ahead at the edge with oneM2M and ETSI MEC, and tell each worker exactly what to do.
Measure the flow rate through a pipe and use machine learning to determine if a clog has formed.
This project show how to read data from a PLC that just has RS485 over USB, using Microsoft Azure IoT Edge to bring data to IoT Hub.
I used C++, NodeJS, Node-Red, Python and Arduino Sketch on the same platform to control a boiler and connect it to the internet.
WAiT is a project that track the movement of wild animal at the application area, identify the animal class and report it on the webserver.
An intelligent IoT device for predictive maintenance and digitization of old machines.
Internet of Things based temperature monitor with predictive capabilities & anomaly detection using ML algorithms.
An IoT Edge device equipped with ESP32, DHT22, and Ethernet W5500
Configuración de nodos en FIT IoT-LAB para enviar datos a AWS y visualizarlos a través de una página web
Watmonitor is a self-hosted app for real-time water level monitoring using IoT sensors, with multilingual support and easy data access.
In this article, we explore how Edge GenAI models can drive industrial anomaly detection and predictive maintenance using the Arduino Uno Q.
Real-time industrial traceability system using QR and IIoT to monitor, track, and optimize production processes in SMEs
Industrial water treatment system using Arduino Opta WiFi for automated pH regulation, chlorine dosing, and bottle filling.
