Optimization of Access Control in Private Educational Institutions: An Approach with Geolocation and Biometrics Using Mobile-D

Abstract

This paper addresses the application of the Mobile-D methodology in an educational setting, motivated by the need for efficient software to comprehensively manage faculty access registration. The lack of adequate technological solutions has limited the optimization of this process, generating inefficiencies in both time and cost. The main objective was to evaluate the effectiveness of Mobile-D in improving faculty access procedures, with particular emphasis on reducing registration times and decreasing associated administrative costs. To address this problem, a pure experimental and quantitative approach was employed, analyzing the impact of Mobile-D. The study population included all access processes carried out by faculty members, with a sample of 30 cases used for testing. Technologies such as Firebase, a NoSQL database manager, and the OpenCV library, used to develop a facial detection algorithm, were integrated. The results demonstrated significant improvements in operational efficiency, confirming the potential of Mobile-D to transform educational processes. A considerable reduction in both time and costs was observed. However, practical challenges also emerged, such as the need to optimize facial recognition through pretrained models and to explore automatic geolocation to enhance the effectiveness of technology.