An all-round and powerful environmental monitoring system for the Green IoT.
An Arduino Uno autopilot drone with multiple sensors and a wireless camera controlled by two microcontrollers.
Temperature logger using ESP8266
The device uses cheap, off the shelf components to provide live data on stream and river conditions like stage, temp, and conductivity.
This device measures fine dust and NO2 concentration in the air while on the move and adds GPS coordinates to each measurement location.
This IoT device measures T and RH with dual BME280s, upload to ThingSpeak and scrolls the data and Dark Sky weather on 4x20 LCD.
This product is designed to monitoring the quality of air continuously for COPD patient.
We solve a spark sound recognition task from raw audio data on a SparkFun RedBoard Artemis ATP board. Spark detection on a SparkFun!
Is there an instant in which you want time to go backwards? Look closely at the water droplet. Is it dripping down or going up?
A self-calibrating, solar-powered cellular tide level and meteorological station based on the Sentient Things IoT Node.
Geiger counter measuring radioactivity using Arduino Nano in 3D-printed housing, with OLED display and Li-ion battery.
Motion detected of thieves using motion sensor
This is a 360 radar using an ultrasonic sensor that saves data and encodes them onto an image.
Electronic greenhouse controlled real-time, because the environmental conditions change continuously, so we need an efficient monitoring.
Autonomous plant monitoring system, follows the parameters of your plants and transmits them on the Ubidots platform via the Sigfox network
Detect intruders in a home or office space using a PIR motion sensor, keypad and LCD screen.Smart lights
Our project is to design and build a wireless sensor array for a pig farm in Thailand.
Senso is a device that detects deforestation using sound analysis detecting machines used to cut down trees and warning the authorities.
Meet the world’s smallest Arduino board with 0.6”x0.6” dimensions ready to rock!
How can scientists model and predict the formation of sink holes using IoT?
Ceri could provide reliable real-time data to the processor to monitor the drying stage of coffee beans.
A stepper motor shakes a limb to frighten away birds and squirrels. It is under the control of the MKR1000.
An Air Quality monitor to see what happens from day to day.
Robotic system for environmental analysis.