@inproceedings{2d9ee0e5bf3b4a9fb90e5430ea51b29b,
title = "Ultraviolet Disinfection System with Autonomous Targeting",
abstract = "We proposed and demonstrated a UV disinfection system by using a galvo system as hardware and machine learning as software to tactically disinfect common items rather than a broad case use.",
author = "Ben Zierdt and Thomas DeGroat and Samuel Furman and Nicholas Papas and Zachary Smoot and Taichu Shi and Yang Qi and Ben Wu",
note = "Funding Information: We proposed and demonstrated a machine learning controlled UV laser system based on galvo mirror system to do disinfection. The system firstly uses image recognition to identify the human and disinfection area, then control the galvo mirror to avoid human and to disinfect the required area. This is an energy-saving system that can avoid the harm to the human body caused by long-term UV irradiation. This project is supported by New Jersey Health Foundation (NJHF Grand # PC 77-21). Publisher Copyright: {\textcopyright} Optica Publishing Group 2021, {\textcopyright} 2021 The Author(s); Laser Science, LS 2021 - Part of Frontiers in Optics, FiO 2021 ; Conference date: 01-11-2021 Through 04-11-2021",
year = "2021",
language = "English (US)",
series = "Optics InfoBase Conference Papers",
publisher = "Optica Publishing Group (formerly OSA)",
booktitle = "Laser Science, LS 2021",
}