An Arduino Uno autopilot drone with multiple sensors and a wireless camera controlled by two microcontrollers.
This device measures fine dust and NO2 concentration in the air while on the move and adds GPS coordinates to each measurement location.
Radio emissions from sky sources like Sun and Jupiter can be received and converted to digital domain for processing.
6-channel digital sampling oscilloscope with built-in frequency counter, maximum sampling rate 47kHz.
There is no doubt that you will love this wall clock.
Use the program to manage your ESP module with simple commands. This will allow you to access the Internet for any Arduino product.
If you're trying to log data from sensors fast, this device is promising. I have optimized the code for fast data logging for any sensor.
A complete DIY weather station that submits its data to the "THINGSPEAK" website, where it can be viewed from any browser.
Geiger counter measuring radioactivity using Arduino Nano in 3D-printed housing, with OLED display and Li-ion battery.
Send your Arduino to collect data from the edge of space!!
Temperature logger using ESP8266
Use NFC stickers to track electronic components with the use of a Particle Photon and a database back-end, along with a webpage interface.
Environment Pollution Monitoring system using Internet of Things-IoT United International University.
Using arduino device to test for human temperature
RFID door lock with ESP32 + Microchip 25AA512 SPI EEPROM + SPI 2.4 TFT + WiFi logging on server.
We use the Intel Edison to record bird vocalizations and pass them to a predictive model to identify four bird species from the recordings.
It can give you a controlling device that can helps you to build an underwater robot communicating via Ethernet cable.
Make a simple oscilloscope with Arduino MEGA 2560 and Processing
Learn how to create a tide gauge that publishes tidal water levels to ThingSpeak and uses MATLAB for tide prediction, analysis, and alerts.
A demo SCADA control system to operate and monitor a pumping water station.
How can scientists model and predict the formation of sink holes using IoT?
To acquire data and determine the most optimized intake runner length for 49ers Racing's FSAE car.
Imagine having a device that can not only monitor network traffic but also scan for nearby Wi-Fi networks, simulate beacon frames, and
The oscillogram monitor the utility grid, recording the amplitude and frequency values and record the voltage waveform during a disturbance.
