Computer-aided military drone with human-detecting capability using OpenCV

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...

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Main Authors: Delloro, Anthony Limuel F., Gochangco, Reuben Philippe B., Limqueco, Jan Edison S., Urbino, Glen Ernan A.
Format: text
Language:English
Published: Animo Repository 2011
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Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/10663
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Institution: De La Salle University
Language: English
id oai:animorepository.dlsu.edu.ph:etd_bachelors-11308
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spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-113082022-01-05T06:23:40Z Computer-aided military drone with human-detecting capability using OpenCV Delloro, Anthony Limuel F. Gochangco, Reuben Philippe B. Limqueco, Jan Edison S. Urbino, Glen Ernan A. 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. 2011-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/10663 Bachelor's Theses English Animo Repository Drone aircraft Air pilots, Military Communication Electrical and Electronics
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Drone aircraft
Air pilots, Military
Communication
Electrical and Electronics
spellingShingle Drone aircraft
Air pilots, Military
Communication
Electrical and Electronics
Delloro, Anthony Limuel F.
Gochangco, Reuben Philippe B.
Limqueco, Jan Edison S.
Urbino, Glen Ernan A.
Computer-aided military drone with human-detecting capability using OpenCV
description 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.
format text
author Delloro, Anthony Limuel F.
Gochangco, Reuben Philippe B.
Limqueco, Jan Edison S.
Urbino, Glen Ernan A.
author_facet Delloro, Anthony Limuel F.
Gochangco, Reuben Philippe B.
Limqueco, Jan Edison S.
Urbino, Glen Ernan A.
author_sort Delloro, Anthony Limuel F.
title Computer-aided military drone with human-detecting capability using OpenCV
title_short Computer-aided military drone with human-detecting capability using OpenCV
title_full Computer-aided military drone with human-detecting capability using OpenCV
title_fullStr Computer-aided military drone with human-detecting capability using OpenCV
title_full_unstemmed Computer-aided military drone with human-detecting capability using OpenCV
title_sort computer-aided military drone with human-detecting capability using opencv
publisher Animo Repository
publishDate 2011
url https://animorepository.dlsu.edu.ph/etd_bachelors/10663
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