Radio emissions from sky sources like Sun and Jupiter can be received and converted to digital domain for processing.
A low-cost approach to perform digital street condition surveys continuously by integrating street imagery with ride quality data.
Monitor the temperature, humidity, pressure, air quality, dust particle concentration online & even detect fire using LinkIt ONE & sensors.
Get the best night's sleep by using Alexa and Arduino to monitor the conditions in your bedroom, make suggestions and help you sleep better.
A smart toilet that maintains a healthy environment analyzing air quality data using machine learning.
Air Quality Monitoring that uses the Intel Edison Compute Module, Amazon AWS, Visualization through Kibana, and drones!
An IoT solution for monitoring workers' health status and improving company performances.
Detection and monitoring with AWS free parking spaces through the Sony Spresense board and pre-trained ML models thanks to Edge Impulse.
Know your room environmental parameters (temperature, humidity, air quality, air pressure and light) by asking Alexa.
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.
Post-Analysis of Badminton-Sport performed through RSL10 powered Smart Racquet and Machine Learning,.. now becomes Open-Source!
Flash floods are very difficult to monitor in low lying areas due to their unpredictable nature.
Mixing existing technologies and creativity, the device is one of a kind and aims to help hospitals during the pandemic.
A system that detects the opening and closing of doors and CO2 concentration to make the air in the room comfortable.
Care for elderly people, remind their medication, doctor appointment, and heart tests. Notify caregivers when something goes wrong.
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.
Sustainable platform of sensing and irrigation automation based around the SenseCAP K1100 with predictive analysis via the Helium Network.
Set up a model for the User Activity Recognition with the Accelerometer sensor of the smartphone, using a crowdsensing IoT app.
LoraWAN, HeartRate and Enviroment Monitor