Online Archive of University of Virginia Scholarship
An Infrared Occupancy Manager; Understanding How Bot Users Flourish on the Internet3 views
Author
Danilowicz, Nicholas, School of Engineering and Applied Science, University of Virginia
Advisors
Sherriff, Mark
Norton, Peter
Abstract
How may automation optimize the tradeoff between users’ convenience and their security?
Gym patrons typically favor workout times when gym occupancy is low, but real-time occupancy may be difficult to determine. Google Maps’ occupancy data is easy to obtain but unreliable. An application was designed with which users could see current and forecast crowding conditions. Because optical cameras compromise personal privacy, infrared cameras would measure crowding in the gym. Though not deployed publicly, cameras were successfully integrated to create a functional app ready for deployment.
Bots pervade the internet, where they infiltrate social media and sometimes influence social media users. To thrive they depend upon users’ naïveté or their preference for convenience over security.
Degree
BS (Bachelor of Science)
Keywords
Privacy; Mobile App; Bots
Notes
School of Engineering and Applied Science
Bachelor of Science in Computer Science
Technical Advisor: Mark Sherriff
STS Advisor: Peter Norton
Technical Team Members: Jonathan Fox, Max Grant
Language
English
Rights
All rights reserved by the author (no additional license for public reuse)
Danilowicz, Nicholas. An Infrared Occupancy Manager; Understanding How Bot Users Flourish on the Internet. University of Virginia, School of Engineering and Applied Science, BS (Bachelor of Science), 2025-12-17, https://doi.org/10.18130/zdr1-zq79.
