Computer vision application proposal for smart inventory systems in convenience store reach-in refrigerators

Vista sencilla de ítem
dc.contributor.advisorGonzález-Jiménez, Luis E.
dc.contributor.authorOrtega-Tapetillo, Juan C.
dc.contributor.authorContreras-López, Rodrigo
dc.date.accessioned2023-01-10T00:29:31Z
dc.date.available2023-01-10T00:29:31Z
dc.date.issued2022-08
dc.descriptionInventory systems in reach-in refrigerators employ manual or smart inventory outdated methods, although efficient, new methods like computer vision could render better results in less time, with less human intervention. The objective of this work proposes a computer vision system to acquire an inventory of products placed in reach-in convenience store refrigerators. A comparative of different computer vision object recognition models was performed to select the most appropriate model for the application. Then, based on the model characteristics and the application requirements, a YOLOv4 object recognition model was selected. Along with a 2-dimension camera positioning rig to capture a live video feed of the products to count for the inventory. Future works could include a real size prototype and further development into a commercial product.es_MX
dc.description.sponsorshipITESO, A. C.es
dc.identifier.citationOrtega-Tapetillo, J. C.; Contreras-López, R. (2022) Computer vision application proposal for smart inventory systems in convenience store reach-in refrigerators. Trabajo de obtención de grado, Especialidad en Sistemas Embebidos. Tlaquepaque, Jalisco: ITESO.es_MX
dc.identifier.urihttps://hdl.handle.net/11117/8389
dc.language.isoenges_MX
dc.publisherITESOes_MX
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdfes_MX
dc.subjectNeural Networkses_MX
dc.subjectComputer Visiones_MX
dc.subjectArtificial Intelligencees_MX
dc.titleComputer vision application proposal for smart inventory systems in convenience store reach-in refrigeratorses_MX
dc.typeinfo:eu-repo/semantics/academicSpecializationes_MX
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones_MX

Archivos

Bloque original
Mostrando 1 - 1 de 1
Miniatura
Nombre:
Computer_vision_application_proposal_for_smart_inventory.pdf
Tamaño:
459.52 KB
Formato:
Adobe Portable Document Format
Descripción:
Trabajo de obtención de grado
Descargar

Colecciones

DESI - Trabajos de fin de Especialidad en Sistemas Embebidos