Publicación:
Herramientas generativas para el diseño de prendas en los talleres de confección

dc.audience
dc.contributor.advisorSalas Álvarez, Daniel José
dc.contributor.authorOrtega Buelvas, Eylin Vanessa
dc.contributor.authorMartínez Guerra, Carlos Mateo
dc.contributor.juryFernández, Alexander
dc.contributor.juryBaena, Rubén
dc.date.accessioned2024-12-12T18:52:31Z
dc.date.available2024-12-12T18:52:31Z
dc.date.issued2024-12-11
dc.description.abstractEste 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.abstractThis 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.degreelevelPregrado
dc.description.degreenameIngeniero(a) de Sistemas
dc.description.modalityTrabajos de Investigación y/o Extensión
dc.description.tableofcontentsRESUMEN ...8spa
dc.description.tableofcontentsABSTRACT ...8spa
dc.description.tableofcontents1. INTRODUCCIÓN ...9spa
dc.description.tableofcontents2. OBJETIVOS ...10spa
dc.description.tableofcontents2.1 Objetivo General ...10spa
dc.description.tableofcontents2.2 Objetivos específicos ...10spa
dc.description.tableofcontents3. REVISIÓN BIBLIOGRÁFICA ...11spa
dc.description.tableofcontents3.1 Inteligencia Artificial (IA) ...11spa
dc.description.tableofcontents3.2 Sector Manufacturero ...12spa
dc.description.tableofcontents3.3 Confección de prendas de vestir ...12spa
dc.description.tableofcontents3.4 Sistematización por medio de un software ...13spa
dc.description.tableofcontents3.6 Generación de imágenes con IA ...15spa
dc.description.tableofcontents3.7 Procesos de confección de prendas ...16spa
dc.description.tableofcontents3.8 Optimización de diseño de prendas ...17spa
dc.description.tableofcontents3.9 Prompt ...18spa
dc.description.tableofcontents4. ESTADO DEL ARTE ...19spa
dc.description.tableofcontents5. MATERIALES Y MÉTODOS ...36spa
dc.description.tableofcontents5.1 Población ...36spa
dc.description.tableofcontents5.2 Muestra ...37spa
dc.description.tableofcontents5.3 Tipo de investigación ...40spa
dc.description.tableofcontents5.4 Variables/indicadores ...40spa
dc.description.tableofcontents5.5 Técnicas de recolección de información ...42spa
dc.description.tableofcontents5.6 Línea de investigación ...43spa
dc.description.tableofcontents5.7 Fuentes primarias y secundarias de investigación ...44spa
dc.description.tableofcontents5.7.1 Fuentes primarias ...44spa
dc.description.tableofcontents5.7.2 Fuentes secundarias ...44spa
dc.description.tableofcontents5.8 Fases y etapas de la investigación ...44spa
dc.description.tableofcontents6. RESULTADOS ...45spa
dc.description.tableofcontents6.1 Análisis de las herramientas generativas AI a utilizar ...46spa
dc.description.tableofcontents6.2 Estudio de las tecnologías disponibles para la generación de imágenes ...48spa
dc.description.tableofcontents6.3 Selección de la AI generativa para el diseño de prendas de vestir ...49spa
dc.description.tableofcontents6.4 Integración de la herramienta de inteligencia artificial generativa ...50spa
dc.description.tableofcontents6.4.1 Arquitectura de DesignFashionAI ...50spa
dc.description.tableofcontents7. CONCLUSIONES ...55spa
dc.description.tableofcontents8. BIBLIOGRAFÍA ...57spa
dc.format.mimetypeapplication/pdf
dc.identifier.instnameUniversidad de Córdoba
dc.identifier.reponameRepositorio Universidad de Córdoba
dc.identifier.repourlhttps://repositorio.unicordoba.edu.co/
dc.identifier.urihttps://repositorio.unicordoba.edu.co/handle/ucordoba/8823
dc.language.isospa
dc.publisherUniversidad de Córdoba
dc.publisher.facultyFacultad de Ingeniería
dc.publisher.placeMontería, Córdoba, Colombia
dc.publisher.programIngeniería de Sistemas
dc.relation.referencesAbd Jelil, R. (2018). Review of artificial intelligence applications in garment manufacturing. Artificial Intelligence for fashion industry in the big data era, 97-123.
dc.relation.referencesCheng, Z., Lee, D., y Tambe, P. (2022). InnoVAE: Generative AI for Understanding Patents and Innovation. Available at SSRN.
dc.relation.referencesDong, 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.referencesGoldman, 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.referencesGómez-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.
dc.relation.referencesHe, Z., Xu, J., Tran, K. P., Thomassey, S., Zeng, X., y Yi, C. (2021). Modeling of textile manufacturing processes using intelligent techniques: a review. The International Journal of Advanced Manufacturing Technology, 116(1-2), 39-67.
dc.relation.referencesJimeno-Morenilla, A., Azariadis, P., Molina-Carmona, R., Kyratzi, S., y Moulianitis, V. (2021). Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors: A review. Computers in Industry, 125, 103390.
dc.relation.referencesLi, Q., Xue, Z., Wu, Y., y Zeng, X. (2022). The status quo and prospect of sustainable development of smart clothing. Sustainability, 14(2), 990.
dc.relation.referencesLiu, J., Chang, H., Forrest, J. Y. L., y Yang, B. (2020). Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors. Technological Forecasting and Social Change, 158, 120142.
dc.relation.referencesKhan, H. (2021). THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE SUPPLY CHAINS OF TEXTILE INDUSTRIES. Journal for Business Education and Management, 1(2), 25-42.
dc.relation.referencesKinkel, S., Baumgartner, M., y Cherubini, E. (2022). Prerequisites for the adoption of AI technologies in manufacturing–Evidence from a worldwide sample of manufacturing companies. Technovation, 110, 102375.
dc.relation.referencesLu, X. (2020). Computational Creativity and Human Creativity Tesis doctoral, Instituto Pratt).
dc.relation.referencesLuce, L. (2019). Artificial Intelligence for Fashion How AI is Revolutionizing the Fashion Industry. Apress.
dc.relation.referencesMeza Cascante, L. G. (2015). El paradigma positivista y la concepción dialéctica del conocimiento. Revista Digital: Matemática, Educación E Internet, 4(2). https://doi.org/10.18845/rdmei.v4i2.2296
dc.relation.referencesNayak, R., y Padhye, R. (2018). Introduction to automation in garment manufacturing. In Automation in garment manufacturing (pp. 1-27). Woodhead publishing.
dc.relation.referencesNoor, A., Saeed, M. A., Ullah, T., Uddin, Z., y Ullah-Khan, R. M. W. (2022). A review of artificial intelligence applications in apparel industry. The Journal of The Textile Institute, 113(3), 505-514.
dc.relation.referencesPal, R., y Jayarathne, A. (2022). Digitalization in the textiles and clothing sector. In The Digital Supply Chain (pp. 255-271). Elsevier.
dc.relation.referencesPantaleo, G., & Rinaudo, L. (2015). Ingeniería de Software. Alfaomega Grupo Editor Argentino.
dc.relation.referencesRathore, B. (2023). Future of textile: Sustainable manufacturing y prediction via chatgpt. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 12(1), 52-62.
dc.relation.referencesSharma, P., Shah, J., y Patel, R. (2022). Artificial intelligence framework for MSME sectors with focus on design and manufacturing industries. Materials Today: Proceedings, 62, 6962-6966.
dc.relation.referencesSikka, M. P., Sarkar, A., y Garg, S. (2022). Artificial intelligence (AI) in textile industry operational modernization. Research Journal of Textile and Apparel.
dc.relation.referencesStein, S., Jacobs, G., Riedel, R., Steinlein, J., Spütz, K., y Konrad, C. (2022). Methodical approach for manufacturing-oriented concept development for Tailored Textiles. Procedia CIRP, 109, 125-133.
dc.relation.referencesThomassey, S., y Zeng, X. (2018). Introduction: Artificial Intelligence for Fashion Industry in the Big Data Era (pp. 1-6). Springer Singapore.
dc.relation.referencesUnited Nations Educational, Scientific and Cultural Organization (UNESCO). (2024). #Made_In_The_Caribbean. El concurso de diseño de moda de transcultura. United Nations Educational, Scientific and Cultural Organization (UNESCO).
dc.relation.referencesWaltersmann, L., Kiemel, S., Stuhlsatz, J., Sauer, A., y Miehe, R. (2021). Artificial Intelligence Applications for Increasing Resource Efficiency in Manufacturing Companies—A Comprehensive Review. Sustainability, 13(12), 6689.
dc.relation.referencesYing, W., y Zhengdong, L. (2019). Intelligent Creative Design of Textile Patterns Based on Convolutional Neural Network. In Advances in Intelligent, Interactive Systems and Applications: Proceedings of the 3rd International Conference on Intelligent, Interactive Systems and Applications (IISA2018) 3 (pp. 210-215). Springer International Publishing.
dc.relation.referencesZhao, Z., y Ma, X. (2018, December). A compensation method of two-stage image generation for human-ai collaborated in-situ fashion design in augmented reality environment. In 2018 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) (pp. 76-83). IEEE.
dc.relation.referencesZhong, S., Ribul, M., Cho, Y., y Obrist, M. (2023). TextileNet: A Material Taxonomy-based Fashion Textile Dataset. arXiv preprint arXiv:2301.06160.
dc.rightsCopyright Universidad de Córdoba, 2024
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2
dc.rights.licenseAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.keywordsGenerative AI
dc.subject.keywordsFashion industry
dc.subject.keywordsDesigns
dc.subject.keywordsChatbot
dc.subject.keywordsAPI
dc.subject.keywordsPrompt
dc.subject.proposalIA generativa
dc.subject.proposalIndustria de la moda
dc.subject.proposalDiseños
dc.subject.proposalChatbot
dc.subject.proposalAPI
dc.subject.proposalPrompt
dc.titleHerramientas generativas para el diseño de prendas en los talleres de confecciónspa
dc.typeTrabajo de grado - Pregrado
dc.type.coarhttp://purl.org/coar/resource_type/c_7a1f
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.contentText
dc.type.driverinfo:eu-repo/semantics/bachelorThesis
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
Archivos
Bloque original
Mostrando 1 - 2 de 2
Cargando...
Miniatura
Nombre:
HERRAMIENTAS GENERATIVAS PARA EL DISEÑOS DE PRENDAS EN LOS TALLERES DE CONFECCIÓN.pdf
Tamaño:
1 MB
Formato:
Adobe Portable Document Format
No hay miniatura disponible
Nombre:
content.pdf
Tamaño:
292.61 KB
Formato:
Adobe Portable Document Format
Bloque de licencias
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
15.18 KB
Formato:
Item-specific license agreed upon to submission
Descripción: