Sustainable platform of sensing and irrigation automation based around the SenseCAP K1100 with predictive analysis via the Helium Network.
ICICLE: Intelligent Control of Internal CLimate Equalization. Use localized control to ensure building wide climate control.
Air Quality Monitoring that uses the Intel Edison Compute Module, Amazon AWS, Visualization through Kibana, and drones!
Sphero's BB-8 uses the Intel Edison and Amazon Web Services to communicate back to the rebel forces.
This projects shows a simple environment monitor which sends you an EMail when an abnormal weather condition is detected.
Monitor the effect of trees and traffic congestion on air quality.
Detection and monitoring with AWS free parking spaces through the Sony Spresense board and pre-trained ML models thanks to Edge Impulse.
An AWS IoT Tutorial With LinkIt ONE
System that monitors a tap with the goal to detect wheter there is a leak of water and in case of leak notify it through an acoustic signal.
This is a project for the course IoT of "La Sapienza" university of Rome. It is a breathalyzer connected to a box containing the car's keys.
LoraWAN, HeartRate and Enviroment Monitor
With QuickFeather and SensiML, through a neural network, which indicates the type of bird we are hearing.
Use the AWS IoT EduKit to create a device that can monitor Galvanic Skin Response, Microphone and Gyroscope data and send it to AWS cloud.
Care for elderly people, remind their medication, doctor appointment, and heart tests. Notify caregivers when something goes wrong.
A system that detects the opening and closing of doors and CO2 concentration to make the air in the room comfortable.
A smart toilet that maintains a healthy environment analyzing air quality data using machine learning.
Mixing existing technologies and creativity, the device is one of a kind and aims to help hospitals during the pandemic.
Just looking at museum's artworks is no longer enough, visitors want to interact with them while keeping social distance (COVID-19 era)
RIOT-OS application on IoT-LAB sending virtual/real sensors' values to TTN via LoRaWAN, and the TTN-AWS IoT integration.
Flash floods are very difficult to monitor in low lying areas due to their unpredictable nature.
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.
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