Maestría en Electrónica y Automatización

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    Sistema de control con visión artificial para cultivos con luz artificial
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Maestría en Electrónica y Automatización, 2022) Núñez Acosta, Rodrigo Santiago; Galarza Zambrano, Eddie Egberto
    The present investigation shows the design, construction and operation of two prototypes of intelligent systems for vertical crops with the application of artificial light and natural light, which optimize plant growth and eliminate the need of using fungicides and pesticides by being isolated and having an electronically controlled environment. It has been tested specifically for lettuce plantations; however, the control conditions can be adjusted for the development of other crop vegetable species. A correlation of the application of natural light and artificial light with an environment under the same conditions of temperature, humidity and drip culture system was performed; artificial vision was used to verify the growth optimization and verify the efficacy of artificial light, by taking samples every so often and applying the Open CV color and edge techniques.
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    Desarrollo de una aplicación de realidad aumentada y visión artificial para el mantenimiento de ventiladores mecánicos
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Maestría en Electrónica y Automatización, 2022) Poveda Ocaña, Héctor Fabián; Galarza Zambrano, Eddie Egberto
    The present work shows the development of a maintenance system for the Savina 300 intensive care ventilator using augmented reality as a guide for the user. The identification algorithm has used a neural network trained with a 3D model of the respirator and the configuration of several relevant details for the training process. The objective execution platform is a mobile device with Android 11 operating system and motion sensors (gyroscope and accelerometer) that allows versatility, mobility and a low-cost implementation of the solution. The detection has been successful in execution times which allows an overlay of the 3D elements on top of the real fan. The proposed structure and work route offers robustness for the implementation of more maintenance tasks in the future. The validation has been carried out using the well-known SUS usability test in which the application reached a value of 82.5, which indicates that it is advisable to make improvements at the user interface and message display level in case of needing a better coefficient.
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    Sistema electrónico de control y etiquetado de molduras para cuadros en tiempo-real mediante machine learning
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Maestría en Electrónica y Automatización, 2022) Chávez Pico, David Alejandro; Herrera Garzón, Marco Antonio
    In this work, a real-time system is presented that performs the detection of the different types of moldings made from the analysis of the image processing of their different surfaces, silhouettes and colors. The need to use this electronic system for the control and labeling of moldings for paintings in real time through machine learning is to reduce production times and store the number of moldings manufactured in a database in order to avoid downtime on the part of workers and thus increase productivity in the factory. In addition, it has the tools, software and hardware to be able to do it, in this case a device called NVIDIA's Jetson Nano will be used for image analysis with its respective camera, which allows artificial vision applications. On the other hand, this control system allows the moldings manufactured to be labeled with their specific characteristics by means of a QR code to make it functional and practical in the factory. This will benefit production since the amount of molding will increase, since costs will be reduced and there will be an increase in profits. Another important aspect is that with this system it is intended to have scalability for the future due to the fact that there are different branches where the moldings are transported and it will help to have a more exact control from the time the load leaves until the load arrives to avoid delays in counting as conventionally. It has been done in recent years, this data can be taken directly to the accounting department who are in charge of the amount of production that is carried out in the factory and the amount that is transported to the headquarters and each of the branches.