Creation Date
4-10-2026
Degree
Bachelor of Science (B.S.)
Major(s)
Computer Engineering
Document Type
Immediate Campus-Only Restricted Access
Abstract
This paper proposes a remote system designed to detect unmanned aerial systems to provide early warning and detection. The system is designed to be portable and affordable for increased availability for both civilian and military applications, by using available artificial intelligence software and stereo camera vision. This paper outlines the rationale for the system, the design of the system, and the current state of the system. This system is a potential alternative to large scale UAS detection devices and offers private citizens and local law enforcement agencies a solution to UAS threats.
Date Defended
4-29-2026
Thesis Director
Dr. John E. Ball
Second Committee Member
Dr. David Hoffman
Third Committee Member
Dr. Aly Sabri Abdalla
Recommended Citation
Martinez, Christopher E., "Designing a Vision-Based Artificial Intelligence Detection System for Unmanned Aerial Vehicles" (2026). Honors Theses. 198.
https://scholarsjunction.msstate.edu/honorstheses/198
