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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	Proceedings of the 3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development
Subtitle of host publication	"Igniting the Spark of Innovation: Emerging Trends, Disruptive Technologies, and Innovative Models for Business Success", LEIRD 2023
ISBN (Electronic)	9786289520774
DOIs	https://doi.org/10.18687/LEIRD2023.1.1.474
State	Published - 2023
Externally published	Yes
Event	3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2023 - Virtual, Online Duration: 4 Dec 2023 → 6 Dec 2023

Publication series

Name	Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
ISSN (Electronic)	2414-6390

Conference

Conference	3rd LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2023
City	Virtual, Online
Period	4/12/23 → 6/12/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure

Keywords

artificial vision
facial recognition
identification

Access to Document

10.18687/LEIRD2023.1.1.474

Cite this

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. In 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 Article 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. in 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

KW - artificial vision

KW - facial recognition

KW - identification

UR - https://www.scopus.com/pages/publications/85187275477

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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. In 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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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