Sistema de identificación biométrica para el control de ingreso del personal en las instalaciones de la coordinación zonal 3 del servicio integrado de seguridad ecu 911

Abstract

This project addresses the lack of an official system for controlling staff access to Zone 3 Coordination of SIS ECU 911. To respond to this problem, a mixed methodology was applied that included surveys, interviews, observation sheets, and a literature review in academic repositories such as SCOPUS, IEEE Xplore, and ScienceDirect. The technical requirements and operating conditions of facial recognition for use in biometric control were investigated. A comparative review of three models allowed for the analysis of essential aspects such as embeddings, robustness, training difficulty, and limitations, positioning InsightFace as the most suitable option due to its accuracy and efficiency. The use of hardware based on reused mobile phones was defined due to its versatility in integrating a camera and screen into a single device, complemented by free and open-source software and frameworks. Operational requirements included the initial capture of photographs for the template, protocols to ensure daily use, secure storage of information, legal compliance, and personal data protection, as well as contingency mechanisms to ensure system continuity. The results showed 89% institutional acceptance and 90% model accuracy, reducing human error and ensuring reliability. It is concluded that the proposal improves access control efficiency, complies with regulations, and promotes sustainability through technological reuse, contributing to the digital transformation of strategic processes.