Maqya: Design of an autonomous low cost beach-cleaner robot for endanger beaches

Franco Rivadeneira, Sergio Martinez, Ariana Teran, Bonnie Arauco, Jesus Flores, Roberto Furukawa

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

Resumen

Pollution is a frequent problem on the most crowded beaches in cities. To solve this problem, the design of a robot integrated with computer vision that identifies places affected by excess waste is proposed and through the mechanical system, the collection of these is carried out for subsequent disposal. Hence, we have developed a low-cost autonomous cleaner robot design that using a YOLO V8 architecture will detect garbage on the sand beach in order to collect them. As a result, the robot was simulated using Robot Operating System (ROS) framework, and the predictive model with the best performance got a 90.95% precision, 78.37% recall, and an F1-Score of 84.19%, using the TACO dataset to train it.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2023 IEEE 30th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9798350315578
DOI
EstadoPublicada - 2023
Evento30th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023 - Lima, Perú
Duración: 2 nov. 20234 nov. 2023

Serie de la publicación

NombreProceedings of the 2023 IEEE 30th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023

Conferencia

Conferencia30th IEEE International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2023
País/TerritorioPerú
CiudadLima
Período2/11/234/11/23

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