As a final requirement for the course, ELX 311 Wireless and Satellite Communication Systems. For this activity entitled, "Integration and Deployment of DIY IoT Using Microcontroller", we will be using an existing project and system the "dual patient heart

closed-loop IoT system

Sistema IoT para el conteo y monitoreo de producción industrial usando ESP32 + sensor ultrasónico. Se registran productos, estado de producción y paros en tiempo real.

Channel for sending gesture, proximity and color data from APDS-9960 sensor using ESP32-C3

A system for collecting environmental data (temp, hum, pressure, wind, rain, light) and controlling components via a cloud dashboard.

This channel collects real-time waste classification data from the Sortify IoT Smart Waste Bin using Raspberry Pi and AI Vision. The system identifies and categorizes waste into Organic, Non-Organic, and B3 (Hazardous Waste), then uploads the data to Thin

IoT Lab #1

Get Ultrasonic data and perform Graphic visualization

Projeto Equipe C

Holds data for a smart study timer.

This weather station collects data from an ESP32 and displays temperature (°C), humidity (%), and pressure (hPa) in real time using ThingSpeak.

Proyecto mapa de calor

it displays the data collected from our smart helmet

This channel collects real-time temperature data using an ESP32 microcontroller and a DHT11 sensor. The values are uploaded every 15 seconds to ThingSpeak for monitoring and visualization. The project demonstrates IoT-based environmental monitoring, enabl

Station météo locale destinée aux agriculteurs : mesure de la température, humidité, pression, luminosité, vitesse du vent, direction du vent et recommandations de semences.