Public Channels for Tag: iot

Channel ID:
3415133

OSCAR (Oral Squamous Cell carcinoma Automatic Recognition) adalah prototipe sistem deteksi dini kanker mulut berbasis multi-omics biomarker (miRNA-31, IL-8, dan Asam Laktat) yang terintegrasi dengan Graph Neural Networks (GNNs) dan Internet of Things (Io

Channel ID:
3420119

IoT-based restroom stall monitoring system using ESP32, PIR sensors, LED indicators, OLED display, and ThingSpeak cloud dashboard.

Channel ID:
3393202

Membaca suhu dan kelembaban ruangan menggunakan sensor DHT11 dan Arduino/ESP8266

Channel ID:
3414816

such as temperature ,humidity,air

iot
Channel ID:
3405111

This weather station measures temperature, Humidity, Light intensity, and battery Percentage and uploads them to Thingspeak every 10 minutes.

Channel ID:
3412812

Simulación en Wokwi de una casa domótica con ESP32, sensor DHT22, sensor de gas MQ-2, LEDs para habitaciones y servo para garaje. Datos enviados en tiempo real a ThingSpeak.

Channel ID:
3400877

LoRa range testing channel for the FYP prototype. Data received from the LoRa gateway includes water temperature, air temperature, humidity, RSSI, SNR, packet number, test distance, and elapsed time. This channel is used to evaluate LoRa connectivity perf

Channel ID:
3402434

Speed Breaker Energy Harvester - Rack Pinion IoT Monitoring

Channel ID:
3417579

Projeto Prático 03 da disciplina Bancos de Dados Aplicados à Internet das Coisas (IoT) - FT/UNICAMP. Estação coletora de informações climáticas utilizando ESP32, sensores NTC, LDR, MQ2 e HC-SR04 com integração ao ThingSpeak.

Channel ID:
3417114

Arduino and wemos combined water level monitoring system for disaster management and preparation

Channel ID:
3415929

Federated Learning Loss Monitoring

Channel ID:
3414818

To monitor the environmental conditional and detect if there is any abnormality

Channel ID:
3413900

BIOCOOL - Pemantauan suhu menggunakan ESP32 dan DS18B20

Channel ID:
3413616

Flood monitoring device with the us of IoT

Channel ID:
3413497

FOCUSENSE is an IoT-based study engagement monitoring and analytics system that uses Arduino Uno, ESP8266, and ultrasonic sensors to measure student focus, distractions, and study productivity in real time.


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