Ingeniería en Sistemas, Electrónica e Industrial

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    Aplicación web para la gestión de pagos de servicios proporcionados por las unidades de producción de la Universidad Técnica de Ambato utilizando procesamiento de imágenes para la validación de datos
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Software, 2024-02) Carrión Valarezo, Richard Manuel; Jara Moya, Santiago David
    The Unidades de Producción of the Universidad Técnica de Ambato are self-managed entities that generate income through the offering of products and services, representing a significant benefit for the university. However, they face challenges in information management and lack a means to share information with the finance department, responsible for receiving payments, for visualization and verification. This poses a problem when completing the process of delivering products and services. The current project proposes the implementation of a web application to establish an online process for acquiring and processing payments for services and products. This allows users to attach and verify information related to their respective processes. Additionally, the project aims to expedite the registration and validation of data through optical character recognition (OCR) and image processing. The current project proposes the implementation of a web application to establish an The web application is divided into two main components: backend and frontend. In the backend, Python with FastAPI is used to develop the Application Programming Interface (API), integrating OCR with Pytesseract and OpenCV. Additionally, PostgreSQL is employed as the database, and MinIO is used for managing images and files. In the frontend, React and additional libraries are utilized. In conclusion, the result is a web application that minimizes the drawbacks of the current process and, additionally, eliminates the need for physical documentation, thereby avoiding potential information losses that could delay the completion of the process.
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    Renderizado de coloración capilar utilizando inteligencia artificial
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Carrera de Telecomunicaciones, 2023-09) Balladares Armendariz, Johanna Elizabeth; Manzano Villafuerte, Víctor Santiago
    The importance in the world of hair coloring has become a trend and people who decide to change their hair color go to an esthetics where they usually ask for recommendations without knowing the final result. The purpose of creating a hair color rendering application is to provide a digital tool that shows color recommendations through a process of hair colorimetry by previewing a hair tone virtually. The application collects three physical characteristics: eye, skin and hair color that are stored in a MySQL database. The Support Vector Machine algorithm uses the TensorFlow and Keras libraries for the hair colorimetry process to predict hair color. The DeepLabv3 model segments the hair of a loaded image resulting in a mask. Finally, a process that couples the results of the previous algorithms is applied to display the customized hair color using the RGB model. The evaluation of the hair colorimetry algorithm uses cross-validation and obtains a value of 0.78 in training and testing, being able to predict the color adequately. The quality metrics for the DeepLabv3 model present average results: recall 98%. Dice Coefficient 98% and IoU 97%, considering that the model has good ability to segment hair in images. The application offers benefits of personalized and realistic counseling, providing a favorable change in the user's appearance by combining theoretical and technological creativity.