Uses a Raspberry Pi and spare Legos to scan trading cards for price data.
With QuickFeather and SensiML, through a neural network, which indicates the type of bird we are hearing.
Tyhac is a multi-mode device made possible by deep learning and AWS. The stack stores and predicts covid-19 audio cough samples.
Our solution uses edge ML model to detect if someone has coughed in area and allows cleaner to record the area has been cleaned.
Open-source Spirometry for ALL.
It detects Fruits and Vegetables and suggests recipes based on the detection.
You can use ML tools from AWS and connect them to a Raspberry Pi to ID birds at your bird feeder.
This a portable UV-C sterilization box. When the box is closed a UV-C light turns on and sends a picture to the cloud for storage.
A proof of concept for direct machine to machine micropayments w/o human interaction using distributed ledger-based technology, IOTA Tangle.
Bringing efficiency to space utilization at most end-user location convenience.
A Soracom GNSS tracker with motion detection, data visualization, and rule-based alerts.
Sometimes we need to send pets with parcel services. How can we be sure they're fine at all times? Take into consideration how baggage.
Voice control using Alexa is popular for a number of applications. This project shows how to connect an Ultra96 (Arm & FPGA) with Alexa.
A simulation of how technology is able to monitor the growth of a plant by using Internet of Things and cloud services.
Mine Quiz is a Minecraft trivia game for Alexa devices. It contains information about crafting recipes and randomizes the questions.
Think you know your Spotify playlists? Test your knowledge with “What's That Song,” a game playable with Amazon Alexa and Echo Buttons!
It's a simulated door lock using cloud services and IoT.
Monitor, sense, predict, and act!
Create a digital inventory of your trading/collectible cards using Lego and a Raspberry Pi.
A storyteller bot for Alexa to read bedtime stories from children's classics.
Battleship sails into the modern world of electronic games through player interaction with the Amazon Echo and Walabot 3D imaging sensor.
This is a school IoT project which utilises 3 Raspberry PIs and other cloud services such as CloudantDB, Amazon S3, and Amazon IoT (MQTT)
This project creates a Walabot consumables monitoring system accessible via Alexa ecosystem used by businesses and households alike.
Create an AWS QuickSight analysis from Sigfox data generated by a Thinxtra Xkit.