Using Machine Learning for IoT
The objective of this project is to build a framework for building intelligent environment applications through ambient sensing and machine learning. You will use computer vision, signal processing, and other machine learning techniques to identify ‘interesting’ events and obtain feedback from an end user about those events, which will be used to generate a semantic stream of labels. The project will require that you learn the scikit-learn python framework as well as yolo and keras for deep learning-based information extraction. You will make use of a prototype sensing ‘box’ called a ‘smartbox’ and the accompanying ‘smartdash’ to generate data and evaluate the findings.
Reading Material and Other Resources
Week 1 Activites
- Get ORBIT/COSMOS account and familiarize oneself with the testbed procedures
Week 2 Activites