Propuesta de Mejoramiento del Modelo de ML para el Sistema de Monitoreo y Seguridad Laboral en la Empresa SLB.
| dc.contributor.advisor | Mancera Lagos, Pedro Alejandro | |
| dc.contributor.author | Melo Tayo, Camilo Andres | |
| dc.contributor.corporatename | Universidad Santo Tomás | spa |
| dc.contributor.cvlac | https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000068920 | spa |
| dc.contributor.cvlac | https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001695594 | spa |
| dc.contributor.googlescholar | https://scholar.google.es/citations?hl=es&user=tI2C-ioAAAAJ | spa |
| dc.contributor.orcid | https://orcid.org/0000-0001-8546-5058 | spa |
| dc.contributor.orcid | https://orcid.org/0000-0002-6063-5265 | spa |
| dc.coverage.campus | CRAI-USTA Bogotá | spa |
| dc.date.accessioned | 2024-10-02T15:36:50Z | |
| dc.date.available | 2024-10-02T15:36:50Z | |
| dc.date.issued | 2024 | |
| dc.description | Esta monografía surge como resultado de un trabajo de investigación realizado en el marco de las prácticas profesionales desempeñadas en la empresa SLB (Schlumberger) entre el 5 de Julio de 2023 y el 5 de enero de 2024, en el que fue posible identificar un problema en la implementación por parte de dicha empresa del sistema de monitoreo y seguridad laboral basado en inteligencia artificial (IA) implementado con el propósito de enviar alertas de seguridad respecto de las personas que estén manipulando en indebida forma las herramientas o elementos de seguridad suministrados por la compañía. La investigación se llevó a cabo "in situ", aprovechando el conocimiento adquirido durante la práctica profesional desarrollada dentro de la empresa, la cual, permitió identificar los desafíos específicos que enfrenta la compañía en la implementación del referido sistema. La propuesta presentada en este trabajo se centra en la optimización del sistema mencionado anteriormente, mediante la implementación de herramientas en la nube de Google Cloud Platform (GCP), para lo cual, se abordan los problemas identificados a través del análisis de soluciones y se plantea una propuesta que combina tecnologías de vanguardia como el modelo YOLO y técnicas de reentrenamiento con la base de datos COCO (Common Objects in Context) y data sets personalizados, junto con la infraestructura escalable y confiable de GCP. | spa |
| dc.description.abstract | This monograph arises as a result of a research work carried out within the framework of the professional practices performed in the company SLB (Schlumberger) between July 5, 2023 and January 5, 2024, in which it was possible to identify a problem in the implementation by the company of the monitoring and work safety system based on artificial intelligence (AI) implemented for the purpose of sending safety alerts regarding people who are improperly manipulating the tools or safety elements supplied by the company. The research was carried out “in situ”, taking advantage of the knowledge acquired during the professional practice developed within the company, which allowed to identify the specific challenges faced by the company in the implementation of the referred system. The proposal presented in this work focuses on the optimization of the aforementioned system, through the implementation of tools in the Google Cloud Platform (GCP) cloud, for which, the problems identified through the analysis of solutions are addressed and a proposal that combines cutting-edge technologies such as the YOLO model and retraining techniques with the COCO (Common Objects in Context) database and customized data sets, along with the scalable and reliable infrastructure of GCP is proposed. | spa |
| dc.description.degreelevel | Pregrado | spa |
| dc.description.degreename | Ingeniero de Telecomunicaciones | spa |
| dc.format.mimetype | application/pdf | spa |
| dc.identifier.citation | Melo Tayo, C. A. (2024). Propuesta de Mejoramiento del Modelo de ML para el Sistema de Monitoreo y Seguridad Laboral en la Empresa SLB. [Trabajo de Grado, Universidad Santo Tomás]. Repositorio Institucional. | spa |
| dc.identifier.instname | instname:Universidad Santo Tomás | spa |
| dc.identifier.reponame | reponame:Repositorio Institucional Universidad Santo Tomás | spa |
| dc.identifier.repourl | repourl:https://repository.usta.edu.co | spa |
| dc.identifier.uri | http://hdl.handle.net/11634/58083 | |
| dc.language.iso | spa | spa |
| dc.publisher | Universidad Santo Tomás | spa |
| dc.publisher.faculty | Facultad de Ingeniería de Telecomunicaciones | spa |
| dc.publisher.program | Pregrado Ingeniería de Telecomunicaciones | spa |
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| dc.rights | Atribución-NoComercial-SinDerivadas 2.5 Colombia | * |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | |
| dc.rights.coar | http://purl.org/coar/access_right/c_abf2 | spa |
| dc.rights.local | Abierto (Texto Completo) | spa |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.5/co/ | * |
| dc.subject.keyword | GCP | spa |
| dc.subject.keyword | IA | spa |
| dc.subject.keyword | Cloud | spa |
| dc.subject.keyword | CCTV | spa |
| dc.subject.keyword | Servers | spa |
| dc.subject.lemb | Ingeniería de Telecomunicaciones | spa |
| dc.subject.lemb | Plan de Mejora | spa |
| dc.subject.lemb | Prácticas Profesionales | spa |
| dc.subject.lemb | Empresa -- Monitoreo | spa |
| dc.subject.proposal | GCP | spa |
| dc.subject.proposal | IA | spa |
| dc.subject.proposal | Nube | spa |
| dc.subject.proposal | CCTV | spa |
| dc.subject.proposal | Servidores | spa |
| dc.title | Propuesta de Mejoramiento del Modelo de ML para el Sistema de Monitoreo y Seguridad Laboral en la Empresa SLB. | spa |
| dc.type.coar | http://purl.org/coar/resource_type/c_7a1f | |
| dc.type.coarversion | http://purl.org/coar/version/c_ab4af688f83e57aa | |
| dc.type.drive | info:eu-repo/semantics/bachelorThesis | |
| dc.type.local | Trabajo de grado | spa |
| dc.type.version | info:eu-repo/semantics/acceptedVersion |
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