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Prototipado de visión por computadora para la detección de objetos en drones autónomos

Authors :
Universitat Politècnica de Catalunya. Arquitectura de Computadors
Valero García, Miguel
Pérez Calderón, Anthony Demostenes
Universitat Politècnica de Catalunya. Arquitectura de Computadors
Valero García, Miguel
Pérez Calderón, Anthony Demostenes
Publication Year :
2024

Abstract

In the contemporary era, drones have transcended their initial function of capturing aerial images to become versatile tools with applications in multiple fields. This project focuses on exploring the autonomous vision capabilities of drones, particularly in the use of machine learning for object detection. The primary goal is to challenge the negative prejudices associated with the military use of drones and to highlight their transformative capabilities in civilian and recreational contexts. The project spans from exploring the physical limits of drones to developing adaptable algorithms through the fusion of programming and computer vision technologies. An exhaustive process of prototyping and implementing an object detection algorithm has been carried out, integrating trained models with advanced tools such as Roboflow and using the Tello drone as a test platform. The result is a system capable of capturing real-time images, processing them, and detecting objects accurately, demonstrating the autonomous vision capabilities of these devices. The project is structured into chapters that detail each stage of development, starting with the introduction of the Tello drone and its engineering ecosystem, followed by programming in Python and the use of specific libraries. A description of the image annotation process with CVAT is included, which is crucial for creating a high-quality dataset. Subsequently, in the model training phase in Roboflow, model configuration, hyperparameter tuning, and performance evaluation are covered. The integration of the trained model in Python, using PyCharm, addresses real-time video capture and processing from the Tello drone and the use of advanced inference tools. Significant technical challenges were encountered at this stage, such as connecting to two networks and optimising image processing, which were addressed through innovative solutions and constant testing. In the conclusion, the achievements are reflected upon, and recommend<br />Objectius de Desenvolupament Sostenible::9 - Indústria, Innovació i Infraestructura

Details

Database :
OAIster
Notes :
application/pdf, Spanish
Publication Type :
Electronic Resource
Accession number :
edsoai.on1452495442
Document Type :
Electronic Resource