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English

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http://hdl.handle.net/10251/167016

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DESARROLLO DE UN SISTEMA DE RASTREO DE OBJETOS CALIENTES UTILIZANDO UNA CÁMARA INFRARROJA

Abstract

[EN] Detection of hot objects with thermal infrared cameras has historically been of interest mostly for military purposes. However, decreasing price and size combined with increasing image quality and resolution in recent years have opened up new application fields, such us firefighting missions, which is the focus of this project. In many cases, the detection of hot objects is not enough and their tracking is also necessary. That is why infrared cameras usually work together with mobile robots to provide the system with movement. The main purpose of this project is to develop and implement a system consisting of an infrared camera and an autonomous mobile robot coordinated with each other to detect and track hot objects in an unknown environment. To achieve this, two thematic blocks corresponding to both devices fundamentally make up the proposed solution. Regarding the equipment selection, Lepton 3.5 from FLIR brand is the IR-camera for the main perception part of the system while the SMR developed by the Automation and Control department of DTU constitutes the mobile robot. A Python script is responsible for implementing the algorithm to detect hot objects and its location in the images captured by the IR-camera, allowing to distinguish if those objects correspond to fires according to a pre-established temperature threshold. Thanks the continuous reading of this hot object data, a SMR-CL script handles the algorithm that allows the robot to perform the following sequence of tasks: check for any fire in the room, track and reach its location, extinguish it and return to the starting position. The communication between both scripts is implemented using a custom made plugin in C++. The collected data during the experiments is shown by means of an infrared imaging animation developed in Python, and a simulation of the robot trajectory and direction map developed in Matlab. By analysing the results obtained in the final testing phase, it is worth to conclude that the solution constitutes a robust system capable of tracking both static and moving hot objects within different environments while the design is fully customizable to a real application. Pascual Garrido, I. (2021). DESARROLLO DE UN SISTEMA DE RASTREO DE OBJETOS CALIENTES UTILIZANDO UNA CÁMARA INFRARROJA. Universitat Politècnica de València. http://hdl.handle.net/10251/167016 TFGM

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