Computer-aided military drone with human-detecting capability using OpenCV
Date of Publication
2011
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics and Communications Engineering
Subject Categories
Communication | Electrical and Electronics
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Enrique M. Manzano
Defense Panel Chair
Edwin Sybingco
Defense Panel Member
Bernard F. So, Jr.
Alexander C. Abad
Abstract/Summary
This paper describes the implementation of an unmanned aerial vehicle (UAV) that can detect humans standing in the upright position. A remote-controlled helicopter is modified in which it is equipped with a camera and a global positioning system (GPS) chip. The camera is able to detect a human-being by sending its video feed to a computer through wireless connection. The software, Open Computer Vision (OpenCV), in the computer processes the video feed and determines whether there is a human being in the frame. The GPS chip was utilized to obtain the GPS coordinates of the UAV.
Abstract Format
html
Language
English
Format
Accession Number
TU14725
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
151 [93] leaves ; 28 cm.
Keywords
Drone aircraft; Air pilots, Military
Recommended Citation
Delloro, A. F., Gochangco, R. B., Limqueco, J. S., & Urbino, G. A. (2011). Computer-aided military drone with human-detecting capability using OpenCV. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/10663
Embargo Period
1-5-2022
