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Da-Silva-Gomez, RodrigoCorresponding AuthorRodriguez-Ramos, AlejandroAuthorPerez-Saura, DavidAuthorGp-Lenza, GuillermoAuthorCampoy, PascualAuthor

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Real-Time Beach Monitoring: Addressing Beach Safety With UAVs and Computer Vision

Publicated to: - 2024-01-01 (), DOI: 10.1109/ROBOT61475.2024.10797412

Authors: Da-Silva-Gomez, Rodrigo; Rodriguez-Ramos, Alejandro; Perez-Saura, David; GP-Lenza, Guillermo; Palacios-Lopez, Fernando; Dominguez, Salvador; Redondo-Rodriguez, Ana; Sanz-Merodio, Daniel; Rodriguez, Helder; Campoy, Pascual; Lopez, Miguel

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Abstract

This study employs computer vision techniques to address beach safety concerns, with a focus on camera-equipped UAVs. The UAVs provide five channels of information that require preprocessing and image alignment to remove noise. The main challenges addressed are the identification of dangerous areas and people detection. For segmentation tasks, several lightweight models were evaluated, with YOLOv8-seg demonstrating superior efficiency and computational lightness across diverse conditions. In people detection, YOLOv8 also shows suitable results, identifying beach users, bathers, swimmers, and surfers. These solutions enable the use of UAVs for beach monitoring, providing a foundation for applications that evaluate danger for individuals on the beach. The results demonstrate the models' effectiveness and their capability to be deployed in real-time on board the UAVs.

Keywords

Area detectionBeach monitoringBeach safetyCoastal engineeringComputer visionComputer vision techniquesDangerous areaImage alignmentImage segmentationPeople detectionReal- timeRemove noiseRoboticsSafety concernsUnmanned aerial vehicles (uav)

Quality index

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-06-01:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 1 (PlumX).

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (DA SILVA GOMEZ, RODRIGO) and Last Author (Lopez, Miguel).

the author responsible for correspondence tasks has been DA SILVA GOMEZ, RODRIGO.