When the Particle Cloud meets the Amazon Cloud
This smart lock allows create rules and scheduled actions with your voice using Alexa and a new unlock feature using smartphone fingerprint.
A GPS tracker for your car, motorcycle, bike and flying saucer, with data storage and map visualization. Not too hard, but no easy either...
Harnessing the power of the Cloud to actively monitor and analyze an indoor food garden that can feed you over the winter.
Know when your clothes are dry
„Alexa, who is at the door?“ - A face recognizing Arduino camera using AWS Rekognition for my grandmother
Get the best night's sleep by using Alexa and Arduino to monitor the conditions in your bedroom, make suggestions and help you sleep better.
Do you ever run out of hot water in the shower? Make this Arduino-powered monitoring device, and then ask Alexa, "How long can I shower?"
Bringing efficiency to space utilization at most end-user location convenience.
This magic clock moves its hand to show where you last checked in on Foursquare.
Track faces and receive notifications in real-time using a Raspberry Pi 4, Intel Neural Compute Stick, and AWS.
Here's a spin on the venerable temperature/humidity logging module. Our version is an IoT utilizing a Particle Photon and a DHT22.
Ever lose your phone under the couch? Find any mobile phone in seconds with Where'sMyPhone.
Say NO to shock collars! Setup virtual fence on the app and keep your beloved pet within your reach. Track your kids while biking from app.
Automate my 3D Printing environment with IoT devices and the Cloud. Decrease the costs / increase performance and add mobility.
Who doesn’t like pictures of cute animals? Daily Cutiemals will send cute animal pictures straight to your email.
A box full of startup ideas, a new procedurally generated idea is displayed every time it is opened.
Display quotes and synthesize speech on an Adafruit PyPortal using CircuitPython and AWS Serverless.
A Device showing up the current Stats of Infections and dead People by Covid-19.
Recognition of human activity through an accelerometer using AWS Lambda and API services