Tesis Telecomunicaciones

Permanent URI for this collectionhttp://repositorio.uta.edu.ec/handle/123456789/34848

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Subject: search.filters.subject.RECONOCIMIENTO FACIAL

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    Sistema de control de acceso automatizado con inteligencia artificial para el monitoreo de estudiantes y docentes en los talleres tecnológicos de la FISEI
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Telecomunicaciones, 2025-02) Barba Proaño Silvia Guadalupe; Brito Moncayo Geovanni Danilo
    The present research work focuses on the development of an automated access control system utilizing artificial intelligence for monitoring students and teachers of the faculty in the technological workshops of the FISEI at the Technical University of Ambato. The project encompasses everything from analyzing technical and operational requirements to implementing an intelligent system that integrates specialized hardware and software. Integration schemes for the system were designed, which include the use of biometric capture devices and facial recognition cameras connected to an artificial intelligence platform. This system enables automatic identification and registration of user entries, ensuring efficient control. Additionally, parameters were established to manage realtime alerts and generate detailed reports on user attendance and duration in the workshops. The implementation of the system included the development of machine learning algorithms to optimize facial recognition and user authentication, as well as the integration of a user-friendly interface that facilitates its use by administrative personnel. Functional tests were conducted in both simulated and real environments, verifying the accuracy of recognition and the robustness of the system under various operational conditions. Finally, the system was validated through pilot tests in the technological workshops, demonstrating its effectiveness in access management and continuous monitoring, contributing to security, and optimizing the use of available resources at FISEI.
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    Sistema de reconocimiento facial utilizando visión artificial basado en una arquitectura iot, para el conteo de usuarios en las unidades de la Cooperativa de Transporte Público “Unión Ambateña”
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Telecomunicaciones, 2024-08) Solís Santamaría, Alexis Adrián; Guamán Molina, Jesús Israel
    Over the years, the transportation company Union Ambateña has seen it is necessary to use different control systems in each bus, in order to track the number of passengers who use the public transportation every single day and be able to know how much money they receive. However, it has been difficult to get accurate data due to limited technology. A system with IoT architecture is presented for detection, classification, and counting of people using the transportation service. An EZVIZ H6c 1080p Wi-Fi camera and an EXTREM 720p camera are used to capture real-time videos of people and faces inside each bus, which are processed on the NVIDIA Jetson Nano development board. The detection models count the total number of passengers boarding the bus and also detect and record the number of adults using the service. The system is developed with the YOLOv8 artificial vision algorithm, which handles adult detection, as well as detection of all types of people. The results of the user count obtained are displayed on the Node-RED platform, which is used with a local service to show the value of the final revenue report. The results are stored and managed on the Ubidots IoT platform, which allows for control of the transportation units and decision-making with real-time data.