Current sampling on electric kiln provides a 'signature' curve for each firing. Data acquired/uploaded using ESP32 (NodeMCU). Data checked and Visualisations pulled by a mobile app (MIT AppInventor2).
IoT Environmental Monitor running on ESP32 with MicroPython. This station monitors indoor air quality and noise pollution. It uploads data every 5 minutes to prevent sensor heating.
Rainwater tank monitor with battery powered ESP32 and ultrasonic sensor
This cloud stores the values as Temperature recieved from the Container and these data can be used for further processing
Monitoring child health (heart rate), environment (temperature, humidity), and gas levels.
This simple array monitors changes in air quality from a Molekule Air Mini. Data is collected using Raspberry Pi Pico W, BME280, and an SGP40 connected via I2C.