Demo Abstract
Vivek Chil Prakash, Anand Krishnan Prakash, Uddhav Arote, Vitobha Munigala, Krithi Ramamritham · 2015
As buildings get smarter they need to be aware of their spaces and occupants to improve prediction and management of energy consumption and environment customization based on user preference. User identification is crucial to this. However, accuracy of identification, intrusiveness and cost are important factors that one considers before installing such a system. Accounting for these factors, we built a Smart-Door that incorporates fusion of not-so-smart sensors, soft information available and learning algorithms to build an economical and accurate user identification system that requires no user intervention to monitor the occupant count and identities in a shared office space that can be scaled up to a building. It provides real-time occupancy status for the area and it can also learn to identify new users. In addition to energy management, such a user identification system has significant applications including evacuation procedures and localizing malfunctioning appliances.