Thesis Details
Protidronová ochrana perimetru
Developement of drone technology brings opportunities for many fields of human activity, but simultaneously brings security threats. A need to effectively face these threats arises. In this work is described the problematics and state-of-the-art methods for object detection in a video captured by moving camera. A system for detecting and locating a drone or a flock of drones has been proposed. Algorithm for detection is based on convolutional neural network, specifically on SSD algorithm. The convolutional neural network was trained on self-made dataset. The system was implemented using OpenCV library with possible algorithm acceleration on GPU using OpenCL. Created solution was tested on video.
object detection, convolutional neural networks, Single Shot MultiBox Detector, TensorFlow, artificial intelligence, drone, UAV, video surveillance, OpenCV, security threats, moving camera
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Dytrych Jaroslav, Ing., Ph.D. (DCGM FIT BUT), člen
Křena Bohuslav, Ing., Ph.D. (DITS FIT BUT), člen
Zendulka Jaroslav, doc. Ing., CSc. (DIFS FIT BUT), člen
@bachelorsthesis{FITBT22488,
author = "Roman Jan\'{i}k",
type = "Bachelor's thesis",
title = "Protidronov\'{a} ochrana perimetru",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2019,
location = "Brno, CZ",
language = "czech",
url = "https://www.fit.vut.cz/study/thesis/22488/"
}