Publicación: Herramientas generativas para el diseño de prendas en los talleres de confección
dc.audience | ||
dc.contributor.advisor | Salas Álvarez, Daniel José | |
dc.contributor.author | Ortega Buelvas, Eylin Vanessa | |
dc.contributor.author | Martínez Guerra, Carlos Mateo | |
dc.contributor.jury | Fernández, Alexander | |
dc.contributor.jury | Baena, Rubén | |
dc.date.accessioned | 2024-12-12T18:52:31Z | |
dc.date.available | 2024-12-12T18:52:31Z | |
dc.date.issued | 2024-12-11 | |
dc.description.abstract | Este proyecto explora el uso de inteligencia artificial generativa en la industria textil, con el desarrollo de un chatbot basado en la API de DALL-E 3 que crea diseños únicos de prendas a partir de descripciones textuales. Se identificaron problemas en pequeños talleres textiles de Montería, como la falta de gestión eficiente y pérdida de recursos, y se implementó un sistema automatizado para optimizar procesos y generar diseños innovadores mediante IA. El sistema combina la sistematización de datos empresariales y la generación automática de propuestas creativas, mejorando la eficiencia, calidad y experiencia del cliente. Los resultados destacan el potencial de la IA para transformar la moda, impulsando la innovación, reduciendo costos y fortaleciendo la competitividad en el sector. | spa |
dc.description.abstract | This project explores the use of generative artificial intelligence in the textile industry through the development of a chatbot powered by the DALL-E 3 API, capable of creating unique garment designs based on textual descriptions. Challenges in small textile workshops in Montería, such as inefficient management and resource losses, were identified, leading to the implementation of an automated system to optimize processes and generate innovative designs using AI. The system combines data systematization and automated creative proposal generation, enhancing efficiency, quality, and customer experience. The results highlight the potential of AI to transform fashion by driving innovation, reducing costs, and strengthening competitiveness in the sector. | eng |
dc.description.degreelevel | Pregrado | |
dc.description.degreename | Ingeniero(a) de Sistemas | |
dc.description.modality | Trabajos de Investigación y/o Extensión | |
dc.description.tableofcontents | RESUMEN ...8 | spa |
dc.description.tableofcontents | ABSTRACT ...8 | spa |
dc.description.tableofcontents | 1. INTRODUCCIÓN ...9 | spa |
dc.description.tableofcontents | 2. OBJETIVOS ...10 | spa |
dc.description.tableofcontents | 2.1 Objetivo General ...10 | spa |
dc.description.tableofcontents | 2.2 Objetivos específicos ...10 | spa |
dc.description.tableofcontents | 3. REVISIÓN BIBLIOGRÁFICA ...11 | spa |
dc.description.tableofcontents | 3.1 Inteligencia Artificial (IA) ...11 | spa |
dc.description.tableofcontents | 3.2 Sector Manufacturero ...12 | spa |
dc.description.tableofcontents | 3.3 Confección de prendas de vestir ...12 | spa |
dc.description.tableofcontents | 3.4 Sistematización por medio de un software ...13 | spa |
dc.description.tableofcontents | 3.6 Generación de imágenes con IA ...15 | spa |
dc.description.tableofcontents | 3.7 Procesos de confección de prendas ...16 | spa |
dc.description.tableofcontents | 3.8 Optimización de diseño de prendas ...17 | spa |
dc.description.tableofcontents | 3.9 Prompt ...18 | spa |
dc.description.tableofcontents | 4. ESTADO DEL ARTE ...19 | spa |
dc.description.tableofcontents | 5. MATERIALES Y MÉTODOS ...36 | spa |
dc.description.tableofcontents | 5.1 Población ...36 | spa |
dc.description.tableofcontents | 5.2 Muestra ...37 | spa |
dc.description.tableofcontents | 5.3 Tipo de investigación ...40 | spa |
dc.description.tableofcontents | 5.4 Variables/indicadores ...40 | spa |
dc.description.tableofcontents | 5.5 Técnicas de recolección de información ...42 | spa |
dc.description.tableofcontents | 5.6 Línea de investigación ...43 | spa |
dc.description.tableofcontents | 5.7 Fuentes primarias y secundarias de investigación ...44 | spa |
dc.description.tableofcontents | 5.7.1 Fuentes primarias ...44 | spa |
dc.description.tableofcontents | 5.7.2 Fuentes secundarias ...44 | spa |
dc.description.tableofcontents | 5.8 Fases y etapas de la investigación ...44 | spa |
dc.description.tableofcontents | 6. RESULTADOS ...45 | spa |
dc.description.tableofcontents | 6.1 Análisis de las herramientas generativas AI a utilizar ...46 | spa |
dc.description.tableofcontents | 6.2 Estudio de las tecnologías disponibles para la generación de imágenes ...48 | spa |
dc.description.tableofcontents | 6.3 Selección de la AI generativa para el diseño de prendas de vestir ...49 | spa |
dc.description.tableofcontents | 6.4 Integración de la herramienta de inteligencia artificial generativa ...50 | spa |
dc.description.tableofcontents | 6.4.1 Arquitectura de DesignFashionAI ...50 | spa |
dc.description.tableofcontents | 7. CONCLUSIONES ...55 | spa |
dc.description.tableofcontents | 8. BIBLIOGRAFÍA ...57 | spa |
dc.format.mimetype | application/pdf | |
dc.identifier.instname | Universidad de Córdoba | |
dc.identifier.reponame | Repositorio Universidad de Córdoba | |
dc.identifier.repourl | https://repositorio.unicordoba.edu.co/ | |
dc.identifier.uri | https://repositorio.unicordoba.edu.co/handle/ucordoba/8823 | |
dc.language.iso | spa | |
dc.publisher | Universidad de Córdoba | |
dc.publisher.faculty | Facultad de Ingeniería | |
dc.publisher.place | Montería, Córdoba, Colombia | |
dc.publisher.program | Ingeniería de Sistemas | |
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dc.relation.references | Dong, H., Liang, X., Zhang, Y., Zhang, X., Shen, X., Xie, Z., Wu, B., Zhang, Z y Yin, J. (2020). Fashion editing with adversarial parsing learning. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 8120-8128). | |
dc.relation.references | Goldman, C. V., Baltaxe, M., Chakraborty, D., Arinez, J., y Diaz, C. E. (2023). Interpreting learning models in manufacturing processes: Towards explainable AI methods to improve trust in classifier predictions. Journal of Industrial Information Integration, 33, 100439. | |
dc.relation.references | Gómez-Fernández, Á y Fernández del Hoyo, A (2020). Uso de la Inteligencia Artificial para la toma de decisiones de Marketing en el Sector Textil de Retail y E-Commerce. | |
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dc.rights | Copyright Universidad de Córdoba, 2024 | |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | |
dc.rights.coar | http://purl.org/coar/access_right/c_abf2 | |
dc.rights.license | Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject.keywords | Generative AI | |
dc.subject.keywords | Fashion industry | |
dc.subject.keywords | Designs | |
dc.subject.keywords | Chatbot | |
dc.subject.keywords | API | |
dc.subject.keywords | Prompt | |
dc.subject.proposal | IA generativa | |
dc.subject.proposal | Industria de la moda | |
dc.subject.proposal | Diseños | |
dc.subject.proposal | Chatbot | |
dc.subject.proposal | API | |
dc.subject.proposal | Prompt | |
dc.title | Herramientas generativas para el diseño de prendas en los talleres de confección | spa |
dc.type | Trabajo de grado - Pregrado | |
dc.type.coar | http://purl.org/coar/resource_type/c_7a1f | |
dc.type.coarversion | http://purl.org/coar/version/c_ab4af688f83e57aa | |
dc.type.content | Text | |
dc.type.driver | info:eu-repo/semantics/bachelorThesis | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | |
dspace.entity.type | Publication |
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