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

Cellular IoT is difficult to use and learn. This tutorial will ease much of this difficulty.

A health monitoring system for rural people of Bangladesh

Mixing existing technologies and creativity, the device is one of a kind and aims to help hospitals during the pandemic.

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

A glucometer to estimate the blood glucose data accurately using Near-Infrared (NIR) Spectroscopy in a non-invasive manner.

A Wearable Medical device to stream the person's health data (ECG, Heart Rate, SpO2, Activity) in a secured AWS for remote monitoring

Easy to use, multifunctional wearable, that gives the first insight to your health condition. Minimalist design, feature rich & customizable

Flash floods are very difficult to monitor in low lying areas due to their unpredictable nature.

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.

Inexpensive/disposable wearable two-way communication system for restaurant/grocery/retail workers

Learn how to send messages to and from Amazon Web Services using the PIC-IoT and AVR-IoT development boards from Microchip.

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

Having connected everything to everyone through e-commerce, Amazon now connects all things by participating in the Internet of Things (IoT).

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

Setting up a simple crowdsensing web app with edge and cloud model computing.

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

If you have a dog, cat or any pet that needs to go into a kennel when travelling, and be left in the hands of airlines or moving services

Third part of my IoT project. This time the station is a program running on a ST B-L072Z-LRWAN1 board that sends the sensors data using LoRa

RIOT-OS application on IoT-LAB sending virtual/real sensors' values to TTN via LoRaWAN, and the TTN-AWS IoT integration.

Set up a RIOT-OS application on real devices, connect them to The Things Network via LoRaWAN and publish the values on AWS.