Like any virus, COVID-19 travels along vectors that can be predicted if you have spatial location data and a Web and Mobile APP to display.
A wearable band and iOS app to trace contacts, enable social distancing, report active cases and inform potential exposure by instant alert.
Give a robot arm a variety of tasks with Alexa, including playing with cats!
HealthEcos - An ecosystem for realtime monitoring of health data and detection of the symptoms related to COVID-19 and medication management
I created a smart shop dispenser-Bot that will guide you to wash your hands for minimum 20 seconds.
As Covid-19 is a contagious pandemic. We came with a solution to detect it from the comfort of your Mobile App. (includes a protect DIY Mask)
Learn how to send messages to and from Amazon Web Services using the PIC-IoT and AVR-IoT development boards from Microchip.
Display quotes and synthesize speech on an Adafruit PyPortal using CircuitPython and AWS Serverless.
Using Sigfox solution from Unabiz (an Arduino shield) in a mouse trap to push SMS and email thru AWS IoT core and store count in DynamoDB.
This is a working display based on Star Trek TNG. Uses APIs and sensors for weather, VOCs, power measurement, calendar, fitness, and news.
An Alexa-based card dealer powered by Lego Mindstorms EV3 31313.
Let's keep an eye on the people we love by checking their oxygen saturation (spo2) and sending an SMS alert below a critical threshold!
Having connected everything to everyone through e-commerce, Amazon now connects all things by participating in the Internet of Things (IoT).
Build your own high-quality water sensor to monitor your pool or spa, using the Amazon Alexa to check on the status of your pool.
Set up a model for the User Activity Recognition with the Accelerometer sensor of the smartphone, using a crowdsensing IoT app.
An ultimate low cost device to track symptoms of menopause and keep data in the cloud allowing doctors to have a better patient history.
A simple Crowd Sensing application based on Amazon Web Services that determines the user activity through the smartphone's accelerometer
In this article, I'll show you how to set up an IoT MQTT cloud-based system about a Human Activity Recognition web app
Application that collects data from the accelerator sensor of the mobile phone using the Generic Sensor API and recognize the user activity.
Example of a crowd-sensing IoT application that uses the sensors inside our smartphones to do human activity recognition.
A PoC for Industry 4.0 Car parking market place where machines negotiates and consumes service without human interaction.
Wearable device which will detect fall and call emergency contact person, reminds to take medicines, bluetooth location tracking.
Amazon Echo plays light music to help easy the stress of menopause.
PART III - An IoT system based on Amazon Web Service (AWS) that simulates an Environmental Station using RIOT-OS, LoRaWAN, TTN and IoT-LAB