AI-Enhanced Smart Energy Monitoring System — LD7182 Northumbria University 2026. ESP32-S3 with DHT22, PIR, EmonLib, OLED, TinyML occupancy classifier.

Current sampling on electric kiln provides a very accurate 'signature' curve for each firing, acquired/uploaded by NodeMCU ESP32. Visualisation pulled by a mobile app. (If "weird" signal, the monitor is in use for the home instead of kiln)

Ohřev bazénu - Loučeň

IoT-based system for detecting meat spoilage using sensors and machine learning

Temperature＆Pressure BMP280

Semana 6

Membaca parameter di ruangan rumput

This project uses an ESP32-based system to monitor environmental conditions such as water level, soil moisture, rainfall intensity, and ground tilt in real time. The system detects flood risk and landslide possibility using sensors like ultrasonic, soil m

This project monitors four DS18B20 temperature probes. The data is collected via an ESP8266 NodeMCU micro controller.

This project monitors four DS18B20 temperature probes. The data is collected via an ESP8266 NodeMCU micro controller.

Channel utilizado para a relaização da Atividade Somativa 2 de IOT

Estação Meteorológica CICLUS Nível de Rio

Semana 6

atividade formativa da matéria Fundamentos da Internet das Coisas

Deep learning Time series prediction data