Herramientas generativas para el diseño de prendas en los talleres de confección
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 l...
- Autores:
-
Ortega Buelvas, Eylin Vanessa
Martínez Guerra, Carlos Mateo
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2024
- Institución:
- Universidad de Córdoba
- Repositorio:
- Repositorio Institucional Unicórdoba
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unicordoba.edu.co:ucordoba/8823
- Acceso en línea:
- https://repositorio.unicordoba.edu.co/handle/ucordoba/8823
https://repositorio.unicordoba.edu.co/
- Palabra clave:
- IA generativa
Industria de la moda
Diseños
Chatbot
API
Prompt
Generative AI
Fashion industry
Designs
Chatbot
API
Prompt
- Rights
- openAccess
- License
- Copyright Universidad de Córdoba, 2024
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Herramientas generativas para el diseño de prendas en los talleres de confección |
| title |
Herramientas generativas para el diseño de prendas en los talleres de confección |
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Herramientas generativas para el diseño de prendas en los talleres de confección IA generativa Industria de la moda Diseños Chatbot API Prompt Generative AI Fashion industry Designs Chatbot API Prompt |
| title_short |
Herramientas generativas para el diseño de prendas en los talleres de confección |
| title_full |
Herramientas generativas para el diseño de prendas en los talleres de confección |
| title_fullStr |
Herramientas generativas para el diseño de prendas en los talleres de confección |
| title_full_unstemmed |
Herramientas generativas para el diseño de prendas en los talleres de confección |
| title_sort |
Herramientas generativas para el diseño de prendas en los talleres de confección |
| dc.creator.fl_str_mv |
Ortega Buelvas, Eylin Vanessa Martínez Guerra, Carlos Mateo |
| dc.contributor.advisor.none.fl_str_mv |
Salas Álvarez, Daniel José |
| dc.contributor.author.none.fl_str_mv |
Ortega Buelvas, Eylin Vanessa Martínez Guerra, Carlos Mateo |
| dc.contributor.jury.none.fl_str_mv |
Fernández, Alexander Baena, Rubén |
| dc.subject.proposal.none.fl_str_mv |
IA generativa Industria de la moda Diseños Chatbot API Prompt |
| topic |
IA generativa Industria de la moda Diseños Chatbot API Prompt Generative AI Fashion industry Designs Chatbot API Prompt |
| dc.subject.keywords.none.fl_str_mv |
Generative AI Fashion industry Designs Chatbot API Prompt |
| description |
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. |
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2024 |
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2024-12-12T18:52:31Z |
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2024-12-11 |
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Abd Jelil, R. (2018). Review of artificial intelligence applications in garment manufacturing. Artificial Intelligence for fashion industry in the big data era, 97-123. Cheng, Z., Lee, D., y Tambe, P. (2022). InnoVAE: Generative AI for Understanding Patents and Innovation. Available at SSRN. 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). 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. 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. He, 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. Jimeno-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. Li, Q., Xue, Z., Wu, Y., y Zeng, X. (2022). The status quo and prospect of sustainable development of smart clothing. Sustainability, 14(2), 990. Liu, 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. Khan, H. (2021). THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE SUPPLY CHAINS OF TEXTILE INDUSTRIES. Journal for Business Education and Management, 1(2), 25-42. Kinkel, 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. Lu, X. (2020). Computational Creativity and Human Creativity Tesis doctoral, Instituto Pratt). Luce, L. (2019). Artificial Intelligence for Fashion How AI is Revolutionizing the Fashion Industry. Apress. Meza 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 Nayak, R., y Padhye, R. (2018). Introduction to automation in garment manufacturing. In Automation in garment manufacturing (pp. 1-27). Woodhead publishing. Noor, 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. Pal, R., y Jayarathne, A. (2022). Digitalization in the textiles and clothing sector. In The Digital Supply Chain (pp. 255-271). Elsevier. Pantaleo, G., & Rinaudo, L. (2015). Ingeniería de Software. Alfaomega Grupo Editor Argentino. Rathore, B. (2023). Future of textile: Sustainable manufacturing y prediction via chatgpt. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 12(1), 52-62. Sharma, 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. Sikka, M. P., Sarkar, A., y Garg, S. (2022). Artificial intelligence (AI) in textile industry operational modernization. Research Journal of Textile and Apparel. Stein, 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. Thomassey, S., y Zeng, X. (2018). Introduction: Artificial Intelligence for Fashion Industry in the Big Data Era (pp. 1-6). Springer Singapore. United 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). Waltersmann, 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. Ying, 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. Zhao, 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. Zhong, S., Ribul, M., Cho, Y., y Obrist, M. (2023). TextileNet: A Material Taxonomy-based Fashion Textile Dataset. arXiv preprint arXiv:2301.06160. |
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Montería, Córdoba, Colombia |
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Salas Álvarez, Daniel Joséb9721726-d809-45a7-8ef1-7504148ff900-1Ortega Buelvas, Eylin Vanessa8bf73e43-17e5-4cf2-b39a-2784b0f3e549-1Martínez Guerra, Carlos Mateo7eebd454-2769-44b5-96c0-05e4c374cdd2-1Fernández, Alexanderd63808a5-8ead-4691-9585-193e799f3d7c-1Baena, Rubén4b66d166-db07-45a4-8ed7-a0671cbd026d-12024-12-12T18:52:31Z2024-12-12T18:52:31Z2024-12-11https://repositorio.unicordoba.edu.co/handle/ucordoba/8823Universidad de CórdobaRepositorio Universidad de Córdobahttps://repositorio.unicordoba.edu.co/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.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.RESUMEN ...8ABSTRACT ...81. INTRODUCCIÓN ...92. OBJETIVOS ...102.1 Objetivo General ...102.2 Objetivos específicos ...103. REVISIÓN BIBLIOGRÁFICA ...113.1 Inteligencia Artificial (IA) ...113.2 Sector Manufacturero ...123.3 Confección de prendas de vestir ...123.4 Sistematización por medio de un software ...133.6 Generación de imágenes con IA ...153.7 Procesos de confección de prendas ...163.8 Optimización de diseño de prendas ...173.9 Prompt ...184. ESTADO DEL ARTE ...195. MATERIALES Y MÉTODOS ...365.1 Población ...365.2 Muestra ...375.3 Tipo de investigación ...405.4 Variables/indicadores ...405.5 Técnicas de recolección de información ...425.6 Línea de investigación ...435.7 Fuentes primarias y secundarias de investigación ...445.7.1 Fuentes primarias ...445.7.2 Fuentes secundarias ...445.8 Fases y etapas de la investigación ...446. RESULTADOS ...456.1 Análisis de las herramientas generativas AI a utilizar ...466.2 Estudio de las tecnologías disponibles para la generación de imágenes ...486.3 Selección de la AI generativa para el diseño de prendas de vestir ...496.4 Integración de la herramienta de inteligencia artificial generativa ...506.4.1 Arquitectura de DesignFashionAI ...507. CONCLUSIONES ...558. BIBLIOGRAFÍA ...57PregradoIngeniero(a) de SistemasTrabajos de Investigación y/o Extensiónapplication/pdfspaUniversidad de CórdobaFacultad de IngenieríaMontería, Córdoba, ColombiaIngeniería de SistemasCopyright Universidad de Córdoba, 2024https://creativecommons.org/licenses/by-nc-nd/4.0/Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Herramientas generativas para el diseño de prendas en los talleres de confecciónTrabajo de grado - Pregradoinfo:eu-repo/semantics/bachelorThesishttp://purl.org/coar/resource_type/c_7a1finfo:eu-repo/semantics/acceptedVersionTextAbd Jelil, R. (2018). Review of artificial intelligence applications in garment manufacturing. Artificial Intelligence for fashion industry in the big data era, 97-123.Cheng, Z., Lee, D., y Tambe, P. (2022). InnoVAE: Generative AI for Understanding Patents and Innovation. Available at SSRN.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).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.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.He, 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.Jimeno-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.Li, Q., Xue, Z., Wu, Y., y Zeng, X. (2022). The status quo and prospect of sustainable development of smart clothing. Sustainability, 14(2), 990.Liu, 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.Khan, H. (2021). THE APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE SUPPLY CHAINS OF TEXTILE INDUSTRIES. Journal for Business Education and Management, 1(2), 25-42.Kinkel, 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.Lu, X. (2020). Computational Creativity and Human Creativity Tesis doctoral, Instituto Pratt).Luce, L. (2019). Artificial Intelligence for Fashion How AI is Revolutionizing the Fashion Industry. Apress.Meza 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.v4i2.2296Nayak, R., y Padhye, R. (2018). Introduction to automation in garment manufacturing. In Automation in garment manufacturing (pp. 1-27). Woodhead publishing.Noor, 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.Pal, R., y Jayarathne, A. (2022). Digitalization in the textiles and clothing sector. In The Digital Supply Chain (pp. 255-271). Elsevier.Pantaleo, G., & Rinaudo, L. (2015). Ingeniería de Software. Alfaomega Grupo Editor Argentino.Rathore, B. (2023). Future of textile: Sustainable manufacturing y prediction via chatgpt. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 12(1), 52-62.Sharma, 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.Sikka, M. P., Sarkar, A., y Garg, S. (2022). Artificial intelligence (AI) in textile industry operational modernization. Research Journal of Textile and Apparel.Stein, 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.Thomassey, S., y Zeng, X. (2018). Introduction: Artificial Intelligence for Fashion Industry in the Big Data Era (pp. 1-6). Springer Singapore.United 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).Waltersmann, 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.Ying, 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.Zhao, 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.Zhong, S., Ribul, M., Cho, Y., y Obrist, M. (2023). TextileNet: A Material Taxonomy-based Fashion Textile Dataset. arXiv preprint arXiv:2301.06160.IA generativaIndustria de la modaDiseñosChatbotAPIPromptGenerative AIFashion industryDesignsChatbotAPIPromptPublicationLICENSElicense.txtlicense.txttext/plain; charset=utf-815543https://repositorio.unicordoba.edu.co/bitstreams/e89dd9fe-69b5-4094-a7ca-31f8600734e7/download73a5432e0b76442b22b026844140d683MD51ORIGINALHERRAMIENTAS GENERATIVAS PARA EL DISEÑOS DE PRENDAS EN LOS TALLERES DE CONFECCIÓN.pdfHERRAMIENTAS GENERATIVAS PARA EL DISEÑOS DE PRENDAS EN LOS TALLERES DE CONFECCIÓN.pdfapplication/pdf1050143https://repositorio.unicordoba.edu.co/bitstreams/33f794cf-ad1b-475b-a205-a82b267a52e1/download190fa1a17cdc37c3e448ee40589a77a6MD53content.pdfcontent.pdfapplication/pdf299637https://repositorio.unicordoba.edu.co/bitstreams/527c4146-35c0-418e-a10f-64c8e3ca2cd8/downloadc7c1320da7e8da7c70de03502748943bMD52TEXTHERRAMIENTAS GENERATIVAS PARA EL DISEÑOS DE PRENDAS EN LOS TALLERES DE 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