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.
A low-cost approach to perform digital street condition surveys continuously by integrating street imagery with ride quality data.
Air Quality Monitoring that uses the Intel Edison Compute Module, Amazon AWS, Visualization through Kibana, and drones!
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.
State of the City creates a map of your city using crowdsourced data
Radio emissions from sky sources like Sun and Jupiter can be received and converted to digital domain for processing.