Green Light... Red Light!
Sustainable platform of sensing and irrigation automation based around the SenseCAP K1100 with predictive analysis via the Helium Network.
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.
LoraWAN, HeartRate and Enviroment Monitor
With QuickFeather and SensiML, through a neural network, which indicates the type of bird we are hearing.
Care for elderly people, remind their medication, doctor appointment, and heart tests. Notify caregivers when something goes wrong.
A smart toilet that maintains a healthy environment analyzing air quality data using machine learning.
A system that detects the opening and closing of doors and CO2 concentration to make the air in the room comfortable.
Just looking at museum's artworks is no longer enough, visitors want to interact with them while keeping social distance (COVID-19 era)
Mixing existing technologies and creativity, the device is one of a kind and aims to help hospitals during the pandemic.
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
This system used to detect anomaly obtained in the temperature in the freezer and send an alert via message & tweet.
PART II - An IoT system based on Amazon Web Service (AWS) that simulates an Environmental Station using RIOT-OS and MQTT-SN
RIOT-OS application on IoT-LAB sending virtual/real sensors' values to TTN via LoRaWAN, and the TTN-AWS IoT integration.
Post-Analysis of Badminton-Sport performed through RSL10 powered Smart Racquet and Machine Learning,.. now becomes Open-Source!
This is a line following robot with vaccum cleaning capabilities. This project explains how to build it using Arduino and also NodeMCU.
Know your room environmental parameters (temperature, humidity, air quality, air pressure and light) by asking Alexa.
This is a "Smart Heater." Control the heater remotely, see historical stats.
Industries directly dump chemicals & waste into the rivers and oceans. The price of which is paid by aquatic life and people living nearby.
Developed smart home automation project to measure your house's temperature and send it on your smartphone.