Implementation of an Authentication System based on Facial Recognition, Artificial Intelligence and Blockchain

Rivera G.S.C.; Polo M.J.A.; Andrade-Arenas L. · International Journal of Engineering Trends and Technology (2024) · DOI: 10.14445/22315381/ijett-v72i1p113

Resumen

This study proposes the implementation of an innovative login system that uses facial recognition based on artificial intelligence and blockchain technology to guarantee the privacy and security of the data of customers of the company Dialyma. The aim is to replace manual access with traditional credentials with a more secure and efficient facial biometric method. For this, Python is used in the backend and libraries such as OpenCV and TensorFlow for facial recognition. The Reniec service, called "Face Biometric Web Service", is implemented for facial validation. Blockchain technology is used to store and protect personal data securely, ensuring their integrity and preventing possible attacks or manipulations. The implementation of this system offers greater security data privacy and improves the user experience, reducing the risks associated with passwords. The results support its effectiveness in protecting the personal data of users of Dialyma customers. This innovative solution contributes to the protection of sensitive data, improves user experience and strengthens confidence in the management of personal information in the business environment.

Instituciones: Universidad de Ciencias y Humanidades