ANALYSIS AND EVALUATION OF FACIAL DETECTION AND RECOGNITION MODELS

Authors

  • Rhuan Lima Ruiz de Oliveira Author
  • Sálvio Roberto Freitas Reis Author
  • Rafael Oliveira Vasconcelos Author

DOI:

https://doi.org/10.56238/arev7n3-003

Keywords:

Facial Recognition, Face Detection, Safety, Internet of Things

Abstract

With technologies such as the Internet of Things constantly evolving, the opportunity arises for other areas, such as facial recognition, to incorporate new concepts into their operation and conquer new applications in smart cities. Public safety is one of the aspects that make up cities, with creative ways to improve emerging all the time, they also enjoy the benefits that the implementation of facial recognition systems brings. These systems are capable of capturing images of individuals and detecting faces through algorithms, which are submitted to models capable of recognizing these people by comparing them with a database. This work conducts a study on the facial recognition process, aiming at the analysis and evaluation of facial detection and recognition models in the context of public security.

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Published

2025-03-03

Issue

Section

Articles

How to Cite

DE OLIVEIRA, Rhuan Lima Ruiz; REIS, Sálvio Roberto Freitas; VASCONCELOS, Rafael Oliveira. ANALYSIS AND EVALUATION OF FACIAL DETECTION AND RECOGNITION MODELS. ARACÊ , [S. l.], v. 7, n. 3, p. 10164–10195, 2025. DOI: 10.56238/arev7n3-003. Disponível em: https://periodicos.newsciencepubl.com/arace/article/view/3629. Acesso em: 14 mar. 2025.