Our project aims to reduce the human manpower and exposure necessary for SAR by automating the process of human detection and location, which is half the battle in SAR. To this end, we built an autonomous quadcopter that flies within a search area of 22,000 ft2 at the height of 17 ft above the ground, and can, with real-time camera footage, locate a human that is standing, sitting, or lying down, and report that human’s location. The drone can be monitored and controlled through a computer's local web app (built on FLASK).
Team Member | Degree | Tasks | |
---|---|---|---|
Christian Lozano | CS |
FLASK Developer Backend Frontend |
christianlozano@knights.ucf.edu |
Joseph Manalo | CS |
Drone SME (Subject Matter Expert) Drone Component Selection Lead Tester and Builder |
joseph70590@gmail.com |
Joshua Mutugi | CS |
CV Model Selection CV Model Integration |
jbmutugi@knights.ucf.edu |
Lisa Harrison | ME (CS minor) |
Search Algorithm & Pattern |
harrisol@knights.ucf.edu |
Nicolas Norman | ME |
Project Manager Drone Frame design Mounting hardware design Manufacturing |
nick.norman@knights.ucf.edu |
Moises D. Cortes Lugo | CPE |
Backend Automation Programmer Flight Controller Selection |
modcode19@gmail.com |