Not all IoT devices are part of the Particle Cloud. Now they can be!
Controlling and monitoring the pump which is used to irrigate the agricultural land.
With Device Simulator, connecting Hexiware and sending sensors data to ARTIK Cloud.
Learn how to incorporate low-cost satellite connectivity in your project using the Blues Starnote alongside a Blues Notecard.
Build a GPS-enabled tracker with just a few lines of code to a Blues Wireless Notecarrier, and visualize it with IoT platform Datacake.
Connect Nvidia Jetson devices to Azure IoT Central with IoT Plug and Play to command and control DeepStream workloads in a custom dashboard!
Using the Arduino Cloud API to obtain IoT data for your MIT App Inventor apps.
Connect your door to the Cloud and open it from everywhere.
Here I show you how an ESP32 can take ECG and send this data to cloud. And how to set up web app to look at this data.
Do you want see from anywhere what is the temperature, pressure and humidity in your house? If yes this project will show you how to do it.
Physically engaging light switches with cloud connectivity. Featuring the Wicked Device Turner Onner and Bluz DK.
Motion activated bed lighting, including an ambient light sensor, relaxing color scenes, and Adafruit.io control.
This device will allow you to record activity in places with expensive equipment to know what happened should anything be stolen.
How to create an AWS instance that allows us to develop and accelerate applications using FPGAs in the cloud.
Sending temperature and humidity data from Magicbit (ESP32) to Arduino IOT Cloud.
How stressed is your PC? This project asks your CPU if it's too overloaded and indicates the CPU load percentage on LEDs using the Bolt.
This tutorial shows how you can connect Arduino YUN to the Adafruit IO platform for sharing the DHT-11 sensor values.
Microsoft Azure is a cloud service which provides more powerful and stable computing power. This time we tried sending our IoTea data to it.
Build a water quality monitoring solution with cellular connectivity, cloud dashboards, and SMS messaging for chlorine emergencies! 🐛❌
As the name suggests, this device classifies the cloud into six different categories using TinyML.
Read this blog and build your own system so that you can receive alerts when your room is too dry or humid.
This project focused on the calculation of machine efficiency along with various parameters visualized on IBM Watson IoT platform.
A tutorial for Azure sphere MT3620 MQTT implementation
