This channel collects real-time data from an ESP32-based smart room system. Motion data is obtained from a PIR sensor and light intensity data is obtained from an LDR sensor. The system uses this data to control lighting, energy usage, and a servo-based
This channel collects real-time environmental data (temperature and humidity) from an ESP32-based IoT monitoring system. Data is captured from a DHT11 sensor and uploaded every 15 seconds.
O Compostech é um sistema de monitoramento de ar robusto baseado em ESP32, projetado para fornecer uma análise detalhada da qualidade do ar em ambientes internos, com especial foco na composição atmosférica e na presença de poluentes.
This IoT-based Smart Irrigation System monitors soil moisture, humidity, temperature, and rain conditions using Arduino and ESP8266. It automatically waters plants when soil is dry and no rain is detected. Data is updated every 20 seconds.
Sistem deteksi gempa berbasis IoT menggunakan sensor MPU6050 dan mikrokontroler Arduino UNO. Data getaran (delta percepatan) dikirim secara real-time ke ThingSpeak melalui Node.js server untuk pemantauan dan analisis aktivitas seismik kecil di sekitar
Canal que muestra el estado de la puerta y los puestos del parqueadero, integrando sensores ultrasónicos, LEDs y servomotor, con envío de datos desde ESP32 a la nube mediante MQTT.
Obstacle detection for blind people This channel stores real-time distance readings from an ultrasonic sensor used for detecting obstacles. Data is sent via NodeMCU to ThingSpeak.
Temperature and humidity measurements from ESP8266 using DHT22 sensor.
This channel collects and visualizes light intensity data from an LDR sensor connected to an ESP32 microcontroller using the ThingSpeak IoT platform.
Sistema de monitoramento de nível de reservatório utilizando ESP32 e sensor ultrassônico HC-SR04, medindo a distância entre o sensor e a superfície da água, classificando o nível do tanque e enviando os dados para o ThingSpeak.
A drone-based IoT system that collects Air Quality(MQ135),Temperature & Humidity(DHT22),The data collected is send via ESP32 to a ThingSpeak dashboard.We can observe the reading in a real-time graphs + alerts if pollution crosses thersholds.