Ingeniería en Sistemas, Electrónica e Industrial
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Item 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 DaniloThe 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.Item 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 IsraelOver 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.Item Sistema de seguridad con tecnología Iot y reconocimiento facial para la Compañía de Taxis Patria Patriatax S.A.(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería en Electrónica y Comunicaciones, 2023-09) Lema Amores, Cristian Daniel; Altamirano Meléndez, SantiagoThe research project focuses on the design of a facial recognition-based security system for the taxi company Patriatax S.A.. located in the Latacunga city. This project arises due to the increase in crime in taxi cooperatives in the area, so it seeks to implement an effective method to reduce crime and victimization through facial recognition of the driver and the passenger. The importance of this system lies in its ability to obtain relevant information about passengers, such as possible legal issues, whether they are wanted criminals or have criminal records, which contributes to preventing dangerous situations for both passengers and the driver. Additionally, the facial recognition of the driver ensures that the vehicle is only used by the designated driver for that unit, increasing the safety of the passengers. An alcohol test is also incorporated, which can reduce the number of accidents caused by intoxicated drivers. The implementation of this system heavily relies on the existence of advanced facial recognition technology and IoT platforms that allow real-time data collection and visualization. The effects of implementing this system are highly significant, as it not only improves the quality of service provided by Patriatax S.A. taxi company but also increases the trust of users in public transportation. As a result, it is expected that the number of users of the taxi company's services will increase, positively impacting the safety and quality of transportation services and benefiting the confidence of the users.Item Sistema para minimizar el riesgo durante la entrega de los estudiantes de educación inicial a los representantes usando técnicas de reconocimiento facial en la Unidad Educativa Cristiana New Life,(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Tecnologías de la Información, 2022-09) Calo Tisalema, Christian Fernando; Nogales Portero, Rubén EduardoThe use of facial recognition systems has been in great demand in recent years as they offer greater security during the processes carried out in companies and organizations, and are even used by government entities focused on citizen security. They are also present in educational institutions for the control of personnel, or in the case of students for the registration of their attendance. The research project aims to develop a facial recognition system that reliably identifies the representatives or persons authorized to pick up students, in order to ensure a safe delivery of early childhood education students during dismissal. The current process is carried out manually, where teachers, based on their knowledge and experience, are in charge of delivering the students. The system was created in the Matlab development environment in its R2020a version, MySQL version 8.0 was used for the database manager and the facial recognition technique consisted in the application of Neural Networks, with the Alexnet pretrained network. The development process was carried out through the application of the agile methodology Extreme Programming (XP).Item Algoritmos de procesamiento de señales para el reconocimiento facial y de voz empleando redes neuronales(Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería en Electrónica y Comunicaciones, 2022-09) Orozco Analuiza, Carlos Alexander; Pallo Noroña, Juan PabloThe present titling work deals with the development of an access control system through facial and voice recognition, for the authentication of people in a home. Currently, the levels of insecurity have increased and this has led to an increase in theft and damage to real estate due to the low level of security in a home. The device developed in this project is based on a bimodal access biometric, through machine learning and neural networks, a subfield of Artificial Intelligence. The system has two authentication methods: facial and voice, for which neural network models designed by the researcher were used with the stages of: database formation, image and audio processing, and neural network design. He implements two methods of facial and voice authentication to avoid identity theft, a camera is responsible for capturing the person's face and performing recognition through the neural network, if the user is registered, the microphone is activated to capture the key of access and process it through the neural network, to record the data a LAMP server is used where the system information and user notifications are stored through the Telegram application. This project is aimed at controlling the access of people to a home, avoiding the use of traditional authentication methods.