With Alexa Voice Service (AVS) and Alexa Home Skills we can enable this mirror to become smart. And this is just the beginning.
WEAR is an open source low cost smart wearable device to ensure safety of women by giving the caregivers security alerts.
SUMO is a low cost pulse monitor which uses an algorithm to convert raw analog sensor data into BPM ( Beat's Per Minute )
My project is an a voice assistant for space/home monitoring while you are away or not nearby.
Ask Amazon Alexa current weather, then display the result on the BBC micro:bit's LEDs.
Analyze your musician skills with this WiFi-connected maraca!
Train your Genuino 101 and use it to classify your simple activities, send your data to AWS IoT and plot it with Redash.
A cloud-based IoT system that collects information from a set of virtual environmental sensors using the MQTT protocol and AWS IoT Core.
A Family Board is a led matrix that displays a message sent by a mobile phone using AWS IOT and AWS SNS for notification on mobile phones.
SENSE is a Smart Open Source Breath Analysis Device that can accurately predict the blood alcohol levels in your breath!
Buddy collects temperature, humidity, light, human presence data, calculates productivity, helps break sedentary, built on AWS Edukit.
Just looking at museum's artworks is no longer enough, visitors want to interact with them while keeping social distance (COVID-19 era)
An IoT Logging and Fire detector employing the PSoC™ 6 62S2 Wi-Fi BT Pioneer Kit by Infineon and the Helium Network via LoRa.
Setup an IoT MQTT cloud based system, including sensors, a database and a website using Amazon Web Service (AWS)
In this article, I'll show you how to set up an IoT MQTT cloud-based system about a Human Activity Recognition web app
The air in your bedroom are important for a comfortable sleep. A fan is attached to the window of the bedroom and automatically controlled.
Anaphylactic Skin Reaction Detection during Chemotherapy
Example of a crowd-sensing IoT application that uses the sensors inside our smartphones to do human activity recognition.
Set up a model for the User Activity Recognition with the Accelerometer sensor of the smartphone, using a crowdsensing IoT app.