Haroon, Hammad
As the use of data collection in the built environment increased, data pertaining to building occupancy has gained considerable importance in realms such as energy optimization and spatial usage analytics. However, many data collection approaches infringe on individuals’ rights to privacy, and subsequently their comfort. This thesis aims to address the tension between the proliferation of smart building technologies and individual privacy and autonomy, specifically focusing on image-based sensing. It explores the possibilities and consequences of data harvesting and occupancy sensing through image-based sensing, gathered by sources such as camera footage. It addresses the definitions and scope of ‘smart’ buildings, focuses on occupancy sensing in non-residential spaces, followed by research into image-based occupancy sensing and finally delving into privacy and its relevance in today’s smart buildings. The research is comprised of a field experiment gathering footage from two cameras, one with a privacy-preserving angle, along with a survey aimed towards individuals in the construction and adjacent fields, to find which camera angle they are more comfortable with in the non-residential areas they occupy.


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In order to accommodate the ever-growing data from various, possibly independent, sources and the dynamic nature of data usage rates in practical applications, modern cloud data storage systems are required to be scalable, flexible, and heterogeneous. The recent rise of the blockchain technology is also moving various information systems towards decentralization to achieve high privacy at low costs. While codes with hierarchical locality have been intensively studied in the context of centralized cloud stor...
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Citation Formats
H. Haroon, “IMAGE-BASED OCCUPANCY SENSING AND PRIVACY IMPLICATIONS,” M.S. - Master of Science, Middle East Technical University, 2022.