Poster Abstract: Intuitive Appliance Identification Using Image Matching in Smart Buildings

Abstract

Identifying an appliance for interaction in commercial buildings becomes non-trivial as the number of smart appliances explodes. We present a system for users to intuitively “look up” appliances using image matching-based technique on a pre-constructed and annotated visual model of building interiors. It matched 98% images on a public robot-collected dataset and achieved 100% recall and precision. Our lab experiments with human captured videos and images also show the feasibility of real world deployments.

Publication
Proceedings of the 2Nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments