DEVELOPMENT OF AN ARTIFICIAL VISION ALGORITHM WITH NEURAL NETWORKS FOR FACE DETECTION FOR THE INDUSTRIAL SECTOR

Ryan Abraham León León; Yeremi Eymail Chinchay Otiniano; Fiorela Geraldine Vargas Orihuela

doi:10.18687/LEIRD2023.1.1.474

DEVELOPMENT OF AN ARTIFICIAL VISION ALGORITHM WITH NEURAL NETWORKS FOR FACE DETECTION FOR THE INDUSTRIAL SECTOR

Ryan Abraham León León
, Yeremi Eymail Chinchay Otiniano
, Fiorela Geraldine Vargas Orihuela

Universidad César Vallejo

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

In this study, a facial recognition system was developed using computer neural networks and the Python programming language. The system was implemented on an HP laptop, equipped with an Intel Core i7 processor, and running the 64-bit Windows 10 operating system. The main objective was to improve efficiency and security in the identification and authentication of individuals across different areas. Facial images were captured using a webcam connected to the laptop, and facial recognition algorithms based on machine learning techniques were applied. The results revealed a 95% accuracy in accurately identifying individuals from the analyzed facial images. These findings highlight the effectiveness of the implemented system and its potential to enhance security in industrial facilities, access control, and personnel management. Moreover, the implementation of the system in Chimbote, Peru, has the potential to drive technological development and innovation in the region, creating employment opportunities and contributing to local economic growth.

Idioma original	Inglés
Título de la publicación alojada	Proceedings of the 3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development
Subtítulo de la publicación alojada	"Igniting the Spark of Innovation: Emerging Trends, Disruptive Technologies, and Innovative Models for Business Success", LEIRD 2023
ISBN (versión digital)	9786289520774
DOI	https://doi.org/10.18687/LEIRD2023.1.1.474
Estado	Publicada - 2023
Publicado de forma externa	Sí
Evento	3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2023 - Virtual, Online Duración: 4 dic. 2023 → 6 dic. 2023

Serie de la publicación

Nombre	Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
ISSN (versión digital)	2414-6390

Conferencia

Conferencia	3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2023
Ciudad	Virtual, Online
Período	4/12/23 → 6/12/23

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 8: Trabajo decente y crecimiento económico
ODS 9: Industria, innovación e infraestructura

Acceder al documento

10.18687/LEIRD2023.1.1.474

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León, R. A. L., Otiniano, Y. E. C., & Orihuela, F. G. V. (2023). DEVELOPMENT OF AN ARTIFICIAL VISION ALGORITHM WITH NEURAL NETWORKS FOR FACE DETECTION FOR THE INDUSTRIAL SECTOR. En Proceedings of the 3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development: "Igniting the Spark of Innovation: Emerging Trends, Disruptive Technologies, and Innovative Models for Business Success", LEIRD 2023 Artículo 474 (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology). https://doi.org/10.18687/LEIRD2023.1.1.474

León, Ryan Abraham León ; Otiniano, Yeremi Eymail Chinchay ; Orihuela, Fiorela Geraldine Vargas. / DEVELOPMENT OF AN ARTIFICIAL VISION ALGORITHM WITH NEURAL NETWORKS FOR FACE DETECTION FOR THE INDUSTRIAL SECTOR. Proceedings of the 3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development: "Igniting the Spark of Innovation: Emerging Trends, Disruptive Technologies, and Innovative Models for Business Success", LEIRD 2023. 2023. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology).

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title = "DEVELOPMENT OF AN ARTIFICIAL VISION ALGORITHM WITH NEURAL NETWORKS FOR FACE DETECTION FOR THE INDUSTRIAL SECTOR",

abstract = "In this study, a facial recognition system was developed using computer neural networks and the Python programming language. The system was implemented on an HP laptop, equipped with an Intel Core i7 processor, and running the 64-bit Windows 10 operating system. The main objective was to improve efficiency and security in the identification and authentication of individuals across different areas. Facial images were captured using a webcam connected to the laptop, and facial recognition algorithms based on machine learning techniques were applied. The results revealed a 95\% accuracy in accurately identifying individuals from the analyzed facial images. These findings highlight the effectiveness of the implemented system and its potential to enhance security in industrial facilities, access control, and personnel management. Moreover, the implementation of the system in Chimbote, Peru, has the potential to drive technological development and innovation in the region, creating employment opportunities and contributing to local economic growth.",

keywords = "artificial vision, facial recognition, identification",

author = "Le{\'o}n, \{Ryan Abraham Le{\'o}n\} and Otiniano, \{Yeremi Eymail Chinchay\} and Orihuela, \{Fiorela Geraldine Vargas\}",

note = "Publisher Copyright: {\textcopyright} 2023 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.; 3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2023 ; Conference date: 04-12-2023 Through 06-12-2023",

year = "2023",

doi = "10.18687/LEIRD2023.1.1.474",

language = "English",

series = "Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology",

booktitle = "Proceedings of the 3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development",

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León, RAL, Otiniano, YEC & Orihuela, FGV 2023, DEVELOPMENT OF AN ARTIFICIAL VISION ALGORITHM WITH NEURAL NETWORKS FOR FACE DETECTION FOR THE INDUSTRIAL SECTOR. En Proceedings of the 3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development: "Igniting the Spark of Innovation: Emerging Trends, Disruptive Technologies, and Innovative Models for Business Success", LEIRD 2023., 474, Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology, 3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2023, Virtual, Online, 4/12/23. https://doi.org/10.18687/LEIRD2023.1.1.474

DEVELOPMENT OF AN ARTIFICIAL VISION ALGORITHM WITH NEURAL NETWORKS FOR FACE DETECTION FOR THE INDUSTRIAL SECTOR. / León, Ryan Abraham León; Otiniano, Yeremi Eymail Chinchay; Orihuela, Fiorela Geraldine Vargas.
Proceedings of the 3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development: "Igniting the Spark of Innovation: Emerging Trends, Disruptive Technologies, and Innovative Models for Business Success", LEIRD 2023. 2023. 474 (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - DEVELOPMENT OF AN ARTIFICIAL VISION ALGORITHM WITH NEURAL NETWORKS FOR FACE DETECTION FOR THE INDUSTRIAL SECTOR

AU - León, Ryan Abraham León

AU - Otiniano, Yeremi Eymail Chinchay

AU - Orihuela, Fiorela Geraldine Vargas

PY - 2023

Y1 - 2023

N2 - In this study, a facial recognition system was developed using computer neural networks and the Python programming language. The system was implemented on an HP laptop, equipped with an Intel Core i7 processor, and running the 64-bit Windows 10 operating system. The main objective was to improve efficiency and security in the identification and authentication of individuals across different areas. Facial images were captured using a webcam connected to the laptop, and facial recognition algorithms based on machine learning techniques were applied. The results revealed a 95% accuracy in accurately identifying individuals from the analyzed facial images. These findings highlight the effectiveness of the implemented system and its potential to enhance security in industrial facilities, access control, and personnel management. Moreover, the implementation of the system in Chimbote, Peru, has the potential to drive technological development and innovation in the region, creating employment opportunities and contributing to local economic growth.

AB - In this study, a facial recognition system was developed using computer neural networks and the Python programming language. The system was implemented on an HP laptop, equipped with an Intel Core i7 processor, and running the 64-bit Windows 10 operating system. The main objective was to improve efficiency and security in the identification and authentication of individuals across different areas. Facial images were captured using a webcam connected to the laptop, and facial recognition algorithms based on machine learning techniques were applied. The results revealed a 95% accuracy in accurately identifying individuals from the analyzed facial images. These findings highlight the effectiveness of the implemented system and its potential to enhance security in industrial facilities, access control, and personnel management. Moreover, the implementation of the system in Chimbote, Peru, has the potential to drive technological development and innovation in the region, creating employment opportunities and contributing to local economic growth.

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KW - facial recognition

KW - identification

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DO - 10.18687/LEIRD2023.1.1.474

M3 - Conference contribution

AN - SCOPUS:85187275477

T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology

BT - Proceedings of the 3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development

T2 - 3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2023

Y2 - 4 December 2023 through 6 December 2023

ER -

León RAL, Otiniano YEC, Orihuela FGV. DEVELOPMENT OF AN ARTIFICIAL VISION ALGORITHM WITH NEURAL NETWORKS FOR FACE DETECTION FOR THE INDUSTRIAL SECTOR. En Proceedings of the 3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development: "Igniting the Spark of Innovation: Emerging Trends, Disruptive Technologies, and Innovative Models for Business Success", LEIRD 2023. 2023. 474. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology). doi: 10.18687/LEIRD2023.1.1.474

DEVELOPMENT OF AN ARTIFICIAL VISION ALGORITHM WITH NEURAL NETWORKS FOR FACE DETECTION FOR THE INDUSTRIAL SECTOR

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