Air Quality Monitoring that uses the Intel Edison Compute Module, Amazon AWS, Visualization through Kibana, and drones!
With QuickFeather and SensiML, through a neural network, which indicates the type of bird we are hearing.
A smart toilet that maintains a healthy environment analyzing air quality data using machine learning.
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.
State of the City creates a map of your city using crowdsourced data
In this project I use RASPBERRY PI and AWS to control a food dehydrator from Android. Data are send to S3 and publisher write status to IoT.