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This article explores the evolution of facial recognition in the field of computer vision, focusing on the development of a facial recognition system using Python. The text begins by highlighting the growing importance of this technology in various areas, from security to retail, driven by the advancement of machine learning algorithms and computational power. Facial recognition not only offers additional layers of authentication and authorization, but also transforms the user experience in industries such as healthcare and entertainment. The article details fundamental concepts, image processing techniques, and machine learning algorithms essential to the development of the system. The agile methodology, combining ORK, Canva, and Scrum, is adopted to ensure efficiency and adaptability during the development process. The results reveal a robust and effective algorithm, highlighting its impact on the security, retail, and personal technology industries. The text also emphasizes ethical and privacy considerations, which are essential for the responsible integration of this innovative technology.
[Romulo Pedroso Branches, Franciele Pimentel Santarem, Jean Mark Lobo de Oliveira and Pablo Augusto da Paz Elleres (2023); DEVELOPMENT OF A FACIAL RECOGNITION SYSTEM USING PYTHON Int. J. of Adv. Res. 11 (Oct). 522-526] (ISSN 2320-5407). www.journalijar.com
Article DOI: 10.21474/IJAR01/17735
DOI URL: http://dx.doi.org/10.21474/IJAR01/17735
This work is licensed under a Creative Commons Attribution 4.0 International License.