Simple to get started yet infinitely expandable.
For makerspaces to keep track of tools and other items. Tag items with inexpensive RFID tags and track their physical locations.
Use a PID Controller to monitor a wheel's speed and consistently reach the desired RPM.
Scan and draw ruff sketch of distances ahead just like RADAR using UltraSonic Distance Sensor.
Control your robot using Windows 10 IoT Core Speech Recognition.
digiPlant tweets and displays live and historical data collected by soil moisture, temperature, and brightness sensors.
What has 6 legs, 18 joints, and a computer for a brain? My daughter's new pet.
Hexapod using Inverse kinematics with a Udoo x86 brain, MQTT Remote control via xBox controller and video streaming (3d printed legs)
Robot that drives using computer vision and speech commands.
Measure temperature, pressure and humidity in your room.
How to control a 12 volt fan from a raspberry Pi using a TIP120 transistor.
Control your home devices from anywhere around the globe, powered by Microsoft Azure
Drives automatically or control it with browser (with video), Xbox One controller and speech. Run on MinnowBoard Quad with Windows IoT Core.
Windows 10 IoT Core Realtime communication using PubNub
Control your smart car using Win 10 IoT Core by WIFI
A support library in .NET for discovering Windows IoT Core devices on a network, just like the WinIoTCoreWatcher application.
Keep your machines oiled.
This uses a cheap stepper motor and controller.
The article shows you how to sense the sound levels in an environment and display them visually in a Universal Windows Application on the Pi
In this sample, we’ll connect an I2C port expander to your Raspberry Pi 2 and create a simple app that reads the status of a tactile switch.
Home Surveillance System using Windows 10 IoT Core Device, TI Sensortag, USB Web Camera and Microsoft Azure.
By setting up Raspberry Pi as a web server, you can connect your HTML page to control GPIO pin.
Windows & Arduino Application for Monitoring MPH and Vibration of Jet Engine using Reed Sensor, SoftPWM, and Predictive Analytics.
For my thesis, I have developed the control system and end-effector for a robot, easily implementable and economic.