SoPC Implementation of a Genetic Algorithm for Circle Detection

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

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

Resum

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 originalAnglès
Títol de la publicació2021 23rd IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2021
EditorInstitute of Electrical and Electronics Engineers Inc.
ISBN (electrònic)9781665434270
DOIs
Estat de la publicacióPublicada - 2021
Publicat externament
Esdeveniment23rd IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2021 - Virtual, Ixtapa, Mexico
Durada: 10 de nov. 202112 de nov. 2021

Sèrie de publicacions

Nom2021 23rd IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2021

Conferència

Conferència23rd IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2021
País/TerritoriMexico
CiutatVirtual, Ixtapa
Període10/11/2112/11/21

Fingerprint

Navegar pels temes de recerca de 'SoPC Implementation of a Genetic Algorithm for Circle Detection'. Junts formen un fingerprint únic.

Com citar-ho