Modelo de Transferencia de Aprendizaje Cuántico para la clasificación de personas con cascos de seguridad

Jose Sulla-Torres, Jorge Martínez Muñoz, César Castillo Cáceres, Abraham Pacheco Oviedo

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

The problem of personal accidents in a work environment in many cases is due to the lack of use of helmets, among other safety elements. The objective of this work was to classify images of people who use or not use safety helmets, in the classes identified as correct use of the helmet, incorrect use and without a safety helmet, with a Quantum Transfer Learning model. For this, the method used has allowed the collection of a data set of 750 images of people in different work activities. The classical learning transfer model chosen was ResNet-18; the variational layers of the proposed model were built with the Basic Entangler Layers template for four qubits with the Pennylane quantum simulator. The results were 95.47% accurate in classifying the correct Safety Helmets. The conclusion reached is that the proposed model is a good option to detect and classify people with the use of safety helmets in a work environment.

Título traducido de la contribuciónQuantum Learning Transfer Model for the classification of people with safety helmets
Idioma originalEspañol
Título de la publicación alojadaProceedings of the 21st LACCEI International Multi-Conference for Engineering, Education and Technology
Subtítulo de la publicación alojadaLeadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development, LACCEI 2023
EditoresMaria M. Larrondo Petrie, Jose Texier, Rodolfo Andres Rivas Matta
EditorialLatin American and Caribbean Consortium of Engineering Institutions
ISBN (versión digital)9786289520743
EstadoPublicada - 2023
Publicado de forma externa
Evento21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023 - Buenos Aires, Argentina
Duración: 19 jul. 202321 jul. 2023

Serie de la publicación

NombreProceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Volumen2023-July
ISSN (versión digital)2414-6390

Conferencia

Conferencia21st LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2023
País/TerritorioArgentina
CiudadBuenos Aires
Período19/07/2321/07/23

Nota bibliográfica

Publisher Copyright:
© 2023 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.

Palabras clave

  • Classification
  • Machine Learning
  • Quantum Transfer Learning
  • safety helmet

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