This project demonstrates real-time object detection using Edge Impulse models and a Flask web interface. Designed for Arduino App Lab and used for the MWC Barcelona 2026 workshops.

Arduino UNO R4 WiFi ┌─────────────────┐ │ │ │ A0 ────────────┼──── Water Sensor Signal │ │ │ D8 ────[220Ω]──┼──── Red LED ──── GND │ │ │ D9 ────────────┼──── Active Buzzer (+) │ │ │ │ GND ...

Abstract: Following this paper, the design, implementation, and evaluation of an intelligent optical gas leakage detection system based on machine learning and an Arduino platform to enhance the ...

Abstract: Efficient detection of underground cable faults is vital for the uninterrupted operation of electrical grids. This paper presents an innovative solution for smart underground cable fault ...

AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.