Public Channels for Tag: esp32

Channel ID:
3383544

INOVASI KENDALI PREDIKTIF BANJIR PERKOTAAN BERBASIS MACHINE LEARNING, FUZZY LOGIC, DAN SCADA UNTUK PREDIKSI GENANGAN SERTA OPTIMASI OPERASI POMPA DRAINASE DI JAKARTA

Channel ID:
3327077

Project Overview: This IoT-based system is designed to automate plant watering by monitoring real-time soil moisture levels. The project utilizes a dual-processor architecture to balance local control with cloud connectivity. Hardware Architecture: C

Channel ID:
3378687

Monitoramento de temparatura e umidade com uso do ESP32 e DHT11

Channel ID:
3379716
Author:

IoT Workshop arranged for Muhammad Ali Jinnah University at 2nd IEEE KHI HTC & 4th ICBM 2026

Channel ID:
3382417

Monitoreo en tiempo real de una planta de rábano usando ESP32

Channel ID:
3100322

This channel provides real-time monitoring and logging of electrical parameters to identify unauthorized "jumper" connections in accordance with RA 7832 (Anti-Electricity Pilferage Act) by comparing source and load measurements to detect diversions.

Channel ID:
3365898
Author:

Detector de raios cosmicos

Channel ID:
3217248

ESP32 Environmental Station v3.3. Monitoring Temp, Hum, Pressure, Wind, Rain, Dust, and Noise.

Channel ID:
3365900

ESP32-S3 remote monitoring of glucose and blood pressure. Module LD7182 AI for IoT, Northumbria University.

Channel ID:
3367031

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

Channel ID:
3368421

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

Channel ID:
3365723

To implemente the applications of the IOT course.

Channel ID:
3307269

Mesures température, pression et humidité avec ESP32 et BME280

Channel ID:
3365780

IoT-based crop recommendation using ESP32 and Decision Tree ML model

Channel ID:
3300393

An IoT-integrated Battery Management System (BMS) for Wireless Electric Vehicle Charging. This channel logs real-time parameters including Battery Voltage, Temperature, and Charging Current. The system uses an ESP32 to monitor cell health and ensures opti


Search