Automatic contact tracing using Bluetooth

At Akihabara Hackerspace, we have automated the ventilation process with CO2 monitors, a fan, AWS IoT Edukit, and IoT-related AWS Services.

Buddy collects temperature, humidity, light, human presence data, calculates productivity, helps break sedentary, built on AWS Edukit.

The air in your bedroom are important for a comfortable sleep. A fan is attached to the window of the bedroom and automatically controlled.

This solution provides an automated method of disinfecting meeting rooms after they are used.

Eradicating infectious diseases with contagious knowledge.

An IoT controlled peer to peer network structured with AWS IoT EduKit and supervised by an admin app to help in search and rescue.

Water is not just a word, it supports our life, and it is an invaluable commodity. The project is a bold step save and reuse water.

This Water Monitoring System would enable a society or houses to monitor, limit and record their water usage

The JAL Project is Water Conservation and Monitoring System would enable a society or houses to monitor, limit and record their water usage.

Just looking at museum's artworks is no longer enough, visitors want to interact with them while keeping social distance (COVID-19 era)

An automatic pill dispenser aimed to ease the lives of the elderly and disabled persons.

This uses AMG8833 and HC-SR04 to measure temperature and give an output to Alexa, AWS DynamoDB, 1.44" TFT and LCD with a NodeMcu.

Helium powered IoT solution to track your best friends during Kennel services.

A wearable band and iOS app to trace contacts, enable social distancing, report active cases, instant alert and self health monitoring.

A wearable band and iOS app to trace contacts, enable social distancing, report active cases and inform potential exposure by instant alert.

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.

Set up a model for the User Activity Recognition with the Accelerometer sensor of the smartphone, using a crowdsensing IoT app.

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.

PART III - An IoT system based on Amazon Web Service (AWS) that simulates an Environmental Station using RIOT-OS, LoRaWAN, TTN and IoT-LAB

PART II - An IoT system based on Amazon Web Service (AWS) that simulates an Environmental Station using RIOT-OS and MQTT-SN