Ingeniería en Sistemas, Electrónica e Industrial

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    Sistema informático aplicando python para la gestión de productos con series de tiempo en la panadería y pastelería “Flor de Cebada"
    (2025-02) Freire Valencia Jean Carlo; Aldas Flores Clay Fernando; Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Tecnologías de la Información
    The present project focuses on the development of a software system aimed at improving product management processes in the bakery and pastry shop "Flor de Cebada." Leveraging Python, the Flask framework for the backend, and React for the frontend, alongside the application of machine learning, the system integrates time series forecasting to enhance trend detection and demand prediction. The goal is to optimize sales operations, minimize product waste, and support data-driven decision-making in a small business environment. The system includes an inventory management mechanism, enabling the registration, updating, and tracking of products, including essential details such as quantities, expiration dates, and prices. Additionally, sales processes are streamlined through barcode scanning, automatic calculations, and totals. A key feature is the generation of reports required by the business. The predictive analysis implemented in the system development provides accurate demand forecasts, helping align production with market needs. The system also generates electronic receipts for transactions, improving operational efficiency and user experience. The project was developed using the Extreme Programming methodology, emphasizing iterative design, stakeholder collaboration, and adaptability to changing requirements. The system delivers tangible benefits for business operations, enabling the bakery to achieve greater accuracy in inventory planning, enhance customer satisfaction, and establish a foundation for sustainable growth. This initiative highlights the potential of technology-driven solutions to address real-world challenges faced by small and medium-sized enterprises
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    Sistema de teledetección aérea para control de agentes patógenos y enfermedades en cultivos de brócoli con el uso de visión artificial
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Telecomunicaciones, 2023-09) Laura Telenchana, Darwin Ronaldo; Urrutia Urrutia, Elsa Pilar
    Broccoli is one of the agricultural products in Ecuador with the highest rate of imports worldwide, due to this the development of the crop must be routinely inspected to counteract the curses that harm its production such as pests or diseases and preserve its high rate of productive quality. For this reason, the present research project is oriented to carry out inspection of broccoli crops by air with pre programmed flight plans that help to analyze the health status of the crop to be treated on time. The design and implementation of the aerial remote sensing system for the control of pathogens and diseases in broccoli crops is developed through the use of the YOLO v5x artificial vision algorithm for deep learning of the system in various production circumstances. The aerial remote sensing system uses a drone that helps to move the active and passive sensors that interact in the system. This drone is autonomous thanks to the implementation of a GPS module on its flight control board, which helps planning grid-type pre-programmed flights. This system receives the analysis of the health status of the broccoli crop by capturing images through a high-definition camera incorporated into the drone. Each image is captured in a time frame of 10 seconds to carry out its respective processing in real time through a graphical interface programmed in Python. The image consists of positioning data such as altitude and latitude obtained through a geolocation system that was implemented in the drone. These data help to locate the specific point where the images were captured and interpret the results obtained in the analysis of the culture for each one of them. The results of the image processing are stored in a database, for the autonomous training of the artificial vision algorithm and improvement of the prototype in the detection of false positives and false negatives
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    Optimización de trayectorias en plataformas robóticas móviles usando técnicas de inteligencia artificial
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Telecomunicaciones, 2023-08) Soto Rodríguez, Andrés David; Manzano Villafuerte, Víctor Santiago
    As time progresses, the growth of the robotics industry is exponential and companies that seek to automate their processes do so to optimize resources, such as the time spent. The use of artificial intelligence is one of the current solutions for the optimization of various processes, by allowing learning in supervised environments, where robotic instrumentation tends to minimize the margin of error in the future thanks to implementations of AI algorithms. In the present project, a solution for the optimization of trajectories is exposed using as support an AI algorithm of reinforcement learning with neural networks implemented in the omnidirectional robotic platform of the KUKA youBot robot to move from one point to another avoiding obstacles presented in its path. The AI algorithm used for learning is Deep Q Network (DQN), this algorithm consists of deep neural networks to maximize some notion of rewards in a cumulative way. whereby means of a Hokuyo lidar motion sensor, placed in the front part of the robotic platform, they are acquired. You sample data from an environment, which is processed in the algorithm to be recognized as collisions or rewards. As the rewards learned by the algorithm are greater. the possibility of collision with an obstacle decreases, moving the robotic platform towards an obstacle-free zone. The programming language of this DON algorithm is based on Python 2, this language works together with ROS (robotic operating system) and allows to know, in an understandable way, how the execution of the movement is carried out through the publication and subscription to the topics corresponding to the robotic platform, thus facilitating the calibration of the parameters used in it.
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    Sistema electrónico de entrenamiento y geolocalización de deportistas de la disciplina de atletismo del Club Especializado Formativo Quines utilizando dispositivos IoT
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería en Electrónica y Comunicaciones, 2022-09) Montes de Oca Santamaria, Bryan Danilo; Brito Moncayo, Geovanni Danilo
    In the present investigation, a training and geolocation system was developed for athletes in the Athletics discipline of Club Quines, to publicize the development of the athlete in real time during their training sessions, thanks to sensors such as: GPS and GPS. max30102, with these data obtained, the coach can perform new exercise routines and thus improve the athlete's performance. To obtain information from the athlete, a system was made with wireless communication devices, where the location of the athlete is known in real time, especially when the training is off the track, and in turn keep track of the heart rate and the consumption of oxygen, in such a way, the information obtained from the sensors is stored in a database, to later be displayed on a desktop interface for the trainer. The system was developed under LoRa technology for its long-distance data transmission and reception range, and thus communicate the Lora Node and the Lora Gateway with the database, being able to visualize it in the desktop application in order to track training in real time. The control of the device is carried out in three stages: the visualization stage or graphical interface programmed in Python, where the orders for training are generated; the data acquisition stage is responsible for capturing physical variables such as: heart rate and oxygenation, in addition to obtaining georeferenced location coordinates of the athlete; and finally, the hosting server in which all system data is recorded
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    Sistema de seguridad integral para la monitorización de alarmas y alerta de emergencia en la parroquia San Andrés del cantón Píllaro de la provincia de Tungurahua
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería en Electrónica y Comunicaciones, 2022-09) Yanchatipán Moposita, Erika Gabriela; Brito Moncayo, Geovanni Danilo
    In the present research project, a comprehensive alarm monitoring and emergency alert system was carried out with geolocation based on wireless technology, to counteract the degree of crime that currently exists in the San Andrés parish. The project has a geolocation system, which allows the user to give their alert location through IoT Development devices that are wirelessly interconnected to a server in the cloud, in addition, it contains a display panel to monitor the address where it is located. has triggered the alarm in case of theft or emergency that exists in the surrounding neighborhoods of the San Andrés del Canton Píllaro parish, in such a way that support was generated among the residents for the excessive theft of homes, damage to private property, theft or damage of crops and/or livestock, with the aim of comprehensively strengthening the security of the area. The system has a wireless panic button for each user, a database in the MariaDB manager for the registration of each resident using a Raspberry PI 4, an interface made in the multiplatform programming language Python for system visualization, a siren of 30W to alert the neighborhood and a GPS module for the geolocation of the alert.
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    Sistema de control para la teleoperación del robot Kuka Youbot mediante comunicaciones inalámbricas y el uso de tarjetas embebidas
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería en Electrónica y Comunicaciones, 2021-09) Peñaloza Leguisamo, Alexis Geovanny; Salazar Logroño, Franklin Wilfrido
    Due to the high cost of buying accessories for the control of machinery in the industry, the necessary knowledge is essential to be able to solve this type of problems for the wellness of any company. The main objective of this research project is the creation of a control system for the teleoperation of the Kuka Youbot robot with the use of free hardware and software because the current applications with the robot are mostly with previously programmed sequences, limiting a continuous and independent use in real time if required, inside the project the design of an electronic circuit is explained which was created in EasyEDA with the use of the ESP32WROOM32 microcontroller, which is a module focused on a wide variety of applications with its Wi-Fi and Bluetooth wireless communication, taking advantage of the fact that this microcontroller can be programmed with a variety of languages, it was used to create a wireless communication with the Kuka Youbot using the TCP protocol and the use of sockets at each end. To receive the information from the remote control, a node was created with the ability to receive data through the TCP / IP protocol and continuously publish messages to the robot node with the respective topic according to the needs of the operator. The system was created and tested with a real Kuka Youbot robot and another inside the Gazebo simulator with an Ubuntu 16.04 operating system and ROS Kinetic. This system to control the Kuka Youbot directly benefits the research area of the Technical University of Ambato, as well as its students and teachers by delivering a PCB circuit with a license open to modifications, it also makes a great contribution to the understanding of the robotics.
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    Simulación de Aplicaciones con series trigonométricas de Fourier en sistemas de comunicaciones electrónicas
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Maestría en Telecomunicaciones, 2021) Rodríguez Ortiz, Alex Francisco; Gordón Gallegos, Carlos Diego
    In the first scenario, the objective was to develop an application that would graph Fourier Trigonometric Series of continuous functions and represent graphical functions with a high degree of fidelity without the need for the Internet to execute the necessary processes. This application was developed and implemented in Python with the SymPy and numpy libraries to use computer calculation. The results displayed by the application are based on fidelity with the theoretical development. In the second current scenario, there has been an immense advance in the field of wireless communications in this world of modern engineering. Today's softwaredefined radio (SDR) technology is an undisputed emerging technology and presents new challenges for communications engineers. The advancement of the SDR system has made significant progress in recent years, making it a substitute for traditional hardware radio architectures where mathematical procedures are required to decode and process radio signals using analog circuitry. Recently, computers have turned out to be powerful enough to do the required mathematical calculations using software. Therefore, the aim of this research project is to demonstrate that an RTL-SDR-based spectrum analyzer can be used competently as an alternative to the existing hardware spectrum analyzer. This approach will reduce the complexity of the analog hardware system with the greater manageability of software-based filtering and demodulation techniques. As RTL-SDR devices are relatively inexpensive (approximately $ 30) and small in size, this system also offers cost-effectiveness with the provision of portability. An experimental study was carried out with the appropriate conditions to examine the viability and efficiency of the proposed system. Basically this research project presents the implementation, testing of an application for the simulation of Fourier Trigonometric Series and a low-cost software-defined radio based on the Raspberry Pi4 computer, the RTL-SDR radio receiver and the GNU software. Radio. Key issues related to installing and configuring the GNU radio and RTL-SDR drivers on the Raspberry Pi OS are covered. The resulting prototype can demodulate AM and FM signals in the 30MHz to 1.7GHz frequency range and can also fulfill the role of Spectrum Analyzer in demanding applications of moderate sensitivity.
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    Sistema de Smart Home aplicando IOT y Blockchain
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería en Electrónica y Comunicaciones, 2021-07) Acurio Conteron, Oswaldo David; Gordón Gallegos, Carlos Diego
    This project designs and implements a Smart Home System applying IoT and Blockchain, with the aim of showing the influence that Blockchain technology has on IoT applications such as Smart Home. Blockchain technology encompasses features such as reliability and decentralization, as it ensures data integrity on devices with IoT technology. For the interaction of the IoT device and the block chain, the Web3.py library and the Vyper programming language were used for the creation of a smart contract that provides a higher level of security unlike Solidity, which requires a truffle framework to write, compile and migrate for which it was worked and Node.js that interacts with the Ethereum Blockchain in Ganache In the design of the Smart Home System applying IoT and Blockchain, it was carried out in Ganache as an Ethereum Blockchain to save the access data of the users at the time of entering the Home after being authenticated by the smart contract that compares the data sent by the IoT Device and the data recorded in the smart contract to unlock the door. The Smart Home system with IoT and Blockchain was implemented in a Raspberry pi 4 built-in a 5MP camera, a relay connected to a solenoid lock at 12V, the set itself allows facial recognition based on the Haar And Histogram cascade classifier algorithms of oriented gradients which are executed in a script programmed in Python and that through the Web3.py library will interact with the Ethereum Blockchain installed on a computer where the home access data will be stored and interact with a smart contract that manage access policies. This System examines aspects of functionality, response times, adequate performance, and security.
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    Sistema electrónico para el diagnóstico del síndrome de túnel carpiano (STC), aplicando procesamiento de imágenes térmicas
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería en Electrónica y Comunicaciones, 2018) Quevedo Viera, Luis Carlos; Otorongo Cornejo, Manuel Rigoberto
    En esta investigación se desarrolla un sistema de diagnóstico para el Síndrome de Túnel Carpiano (STC), que usa procesamiento de imágenes térmicas, con el fin de crear un método de diagnóstico no invasivo, para evitar dolor en las personas que sufren de esta enfermedad. El sistema se desarrolla en la placa Raspberry Pi 3, que es hardware libre y programada en la librería OpenCV, del software libre Python. El presente proyecto de investigación describe el diseño e implementación de un sistema que permite leer una imagen térmica, capturada por una cámara termográfica, para procesarla mediante filtros de OpenCV. El procesamiento de las imágenes proporciona el área con la temperatura más elevada de la zona de interés, en este caso la mano y el brazo del paciente. El sistema permite ingresar la temperatura central del paciente y superficial del área de interés, para realizar el cálculo de la temperatura corporal, y de esta manera analizar si el resultado está dentro de los rangos normales. Las imágenes y datos resultantes se presentan en una interfaz gráfica amigable y fácil de comprender, que fue diseñada en QTCreator. El usuario del sistema tiene la opción de guardar toda la información que se obtuvo del análisis en una base de datos, que se encuentra en el mismo sistema.
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    Sistema electrónico para facilitar la comunicación y actividades cotidianas de los enfermos con esclerosis lateral amiotrófica (ELA)
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Ingeniería en Electrónica y Comunicaciones, 2018) Collaguazo Chicaiza, Jorge Héctor; Córdova Cordova, Edgar Patricio
    El presente proyecto de investigación detalla el desarrollo e implementación del prototipo, sistema electrónico para facilitar la comunicación y actividades cotidianas de los enfermos con Esclerosis Lateral Amiotrófica (ELA), esta extraña enfermedad que se presenta generalmente en las personas adultas de 40 a 70 años, destruye las neuronas motoras del cerebro y la médula espinal de forma progresiva, las neuronas motoras del cerebro dejan de enviar impulsos eléctricos a los músculos del cuerpo, provocando la inmovilidad de sus brazos, piernas e incluso la lengua, ocasionando que el paciente no se pueda comunicar con las personas de su alrededor e impidiendo realizar actividades productivas. El sistema cuenta con un sensor de proximidad ubicado en las lentes del paciente, la cual detecta el movimiento de la comisura lateral del ojo, y envía una señal hacia una interfaz gráfica que está desarrollada en la tarjeta Raspberry PI (RPI). En la interfaz gráfica se tiene un teclado virtual y una simulación del mouse que se desplaza por cada letra con un tiempo determinado, si el cursor del mouse se encuentra en la letra deseada se puede seleccionar y escribir mediante el movimiento mencionado del ojo, además, al sistema está integrado un altavoz que permite escuchar el mensaje escrito previamente por el paciente. También, se ha generado un pequeño sistema domótico para el control de la luz, puerta, ventana, ventilador y alarma del paciente, las cuales son manipuladas mediante la comunicación Bluetooth. El sistema adicionalmente cuenta con el módulo de la cámara RPI conectado al puerto CSI, para controlar el cursor del mouse a partir del movimiento de la cabeza, esta opción se integró al sistema debido a que algunos pacientes están en etapas intermedias y cuentan con movilidad de su cabeza, de esta manera el proceso de escritura y el control de dispositivos externos se realizará con mayor rapidez.