Sustainable platform of sensing and irrigation automation based around the SenseCAP K1100 with predictive analysis via the Helium Network.
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.