Title

Semi autonomous quadcopter for early rat infestation detection

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Article

Source Title

International Journal of Advanced Trends in Computer Science and Engineering

Volume

8

Issue

2

First Page

241

Last Page

245

Publication Date

3-1-2019

Abstract

This research implemented a quadcopter setup capable of autonomous flight, geared towards early detection of rat infestation. This employed the Tarot 650 Iron Man as the drone frame along with an FLIR Duo R thermal camera. Programming language used was Python, along with OpenCV and Qt Designer for the code and GUI implementation. A simulated controlled setup was created to test the project. The drone was programmed to fly over the controlled setup for it to scan the area and detect the rats that were placed in different parts of the setup. Thermal pictures taken by the drone are processed by the code and output is the maximum number of rats detected along with the waypoints were the maximum value was detected. Each waypoint would correspond to a specific location, and will let the user know which part of the land has the highest density of rats. © 2019, World Academy of Research in Science and Engineering. All rights reserved

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Digitial Object Identifier (DOI)

10.30534/ijatcse/2019/22822019

Disciplines

Electrical and Computer Engineering

Keywords

Drone aircraft in remote sensing; Infrared imaging; Agricultural innovations; Rats—Control—Equipment and supplies

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