SoPC Implementation of a Genetic Algorithm for Circle Detection

Luis F.Rojas Munoz, Santiago Sanchez Solano, Carlos H.Garcia Capulin, Horacio Rostro Gonzalez

Producción científica: Capítulo del libroContribución a congreso/conferenciarevisión exhaustiva

Resumen

This article presents a system-on-programable-chip implementation of a genetic algorithm for circle detection. The use of this implementation technique allows the development of an efficient, decentralized and embedded system with high scalability and robustness, in addition to providing it with an effective and easy-to-use interface. The hardware components of the system implement the evolutionary process and the software elements perform image pre-processing tasks and provide the user interface. The SoPC was implemented on a Zybo-Z7 development board equipped with a Xilinx Zynq-7000 family device and it has been numerically validated on synthetic and real images. Detection rates obtained for both types of images demonstrate the suitability of this proposal to design embedded systems with size, resources and power consumption limitations for applications in Industry 4.0 and other related paradigms.

Idioma originalInglés
Título de la publicación alojada2021 23rd IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2021
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781665434270
DOI
EstadoPublicada - 2021
Publicado de forma externa
Evento23rd IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2021 - Virtual, Ixtapa, México
Duración: 10 nov 202112 nov 2021

Serie de la publicación

Nombre2021 23rd IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2021

Conferencia

Conferencia23rd IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2021
País/TerritorioMéxico
CiudadVirtual, Ixtapa
Período10/11/2112/11/21

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