Artificial Intelligence as a Mechanism for Transparency and Trust in e-Government: Algorithm for the Detection of Peruvian Marine Species in High Seas During Closed Season

Carlos Palma, Manuel Tupia, Rony Cueva

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

One of the main problems that arise in the process of extracting marine species during the closed seasons is the indiscriminate loading of marine species that are prohibited because they are in spawning season. These problems are often aggravated by the lack of transparency in inspection process, where inspectors receive bribes when they intervene with vessels on the high seas [1]. In addition to that, [2] details how the process of identifying marine species does not have rigorous verification due to not having the appropriate tools and control mechanisms. For those reasons, this paper has the general objective of the implementation of a technological solution based on a Artificial Intelligence and mobile application integrated into the identification and control processes of marine species in closed seasons by providing an adequate classification of the species detected by those devices. To achieve this, YOLO algorithm has been trained and used in an integrated app. YOLO is an algorithm whose architecture is based on convolutional neural networks. This algorithm, unlike other CNN-based architectures, seeks to perform detection in a single run, which allows it to be an extremely fast alternative by performing two fundamental tasks at the same time: identifying a region of interest and classifying it.

Idioma originalInglés
Título de la publicación alojadaElectronic Government and the Information Systems Perspective - 13th International Conference, EGOVIS 2024, Proceedings
EditoresAndrea Kö, Gabriele Kotsis, Ismail Khalil, A Min Tjoa
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas43-58
Número de páginas16
ISBN (versión impresa)9783031682100
DOI
EstadoPublicada - 2024
Evento13th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2024 - Naples, Italia
Duración: 26 ago. 202428 ago. 2024

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen14913 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia13th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2024
País/TerritorioItalia
CiudadNaples
Período26/08/2428/08/24

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