Innovation in Biometric Security and Digital Transformation: Redesigning Security Models in Society
DOI:
https://doi.org/10.61467/2007.1558.2026.v17i1.1270Keywords:
biometrics, facial recognition, CNNAbstract
This research aimed to generate applied knowledge to support the design, development, and implementation of an intelligent biometric system based on facial recognition, oriented towards strengthening security models in both public and private institutions. A technological solution was developed that integrates hardware, software, and artificial intelligence algorithms to provide access that is precise, rapid, secure, and hygienic, without requiring physical contact or the use of passwords or identification cards. The system supports multiple concurrent functions, including body temperature measurement and real-time logging of entries and exits, which may contribute to reducing risks associated with fraud and human intervention. The system was implemented at the Instituto Tecnológico Superior de Ciudad Hidalgo, where it was used to automate campus access for administrative personnel, academic staff, and students, in accordance with the principles associated with Society 5.0 and the development of intelligent and sustainable environments. Facial recognition is described as offering high levels of accuracy and adaptability, maintaining functionality under varying conditions such as mask usage and changes in lighting. The study adopted a qualitative research approach and employed an evolutionary prototyping development model, using TensorFlow and Python as the primary implementation tools. As a result, an access management system was developed that can be regarded as an innovative contribution to institutional security, while also supporting the integration of disruptive technologies within educational settings. In this context, automation and advanced authentication mechanisms are positioned as relevant components of contemporary infrastructural development.
Smart citations: https://scite.ai/reports/10.61467/2007.1558.2026.v17i1.1270
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