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Anais do SITRAER · XIX SITRAER 2022

Anais do SITRAER – XIX SITRAER (2022)

A Computer Model for Detecting Airport Luggage's Dimensions Using Low-Cost Depth Sensors

  • Vitor de Almeida Silva
  • Marcos Paulino Roriz Junior
  • Michelle Carvalho Galvão da Silva Pinto Bandeira

Universidade Federal de Goiás (UFG), Faculdade de Ciência e Tecnologia

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Evento
XIX SITRAER – São José dos Campos, SP, Brasil, 25 a 27 de outubro de 2022
Volume
Proceedings of SITRAER 2022 – Air Transportation Symposium · ISSN 2448-1912
Páginas
355–363
Editora
Sociedade Brasileira de Pesquisa em Transporte Aéreo (SBTA)
Editores
Giovanna Miceli Ronzani Borille, Rogéria de Arantes Gomes, Evandro José da Silva, Mauro Caetano, Cláudia Azevedo Pereira

Abstract

A factor that impacts airlines’ resources is the verification of luggage’s dimensions during the boarding process. To check conformity, companies usually rely on a human operator. To mitigate this issue, companies are investing in automatic self bag drop systems. This process introduces new technological challenges, since, in this scenario, the verification of the conformity of the luggage dimensions is delegated to the passenger, which can lead to errors. In addition, current solutions use specific computing devices, such as laser scanners, that are expressive in size and cost, which may require interventions in the airport infrastructure. In this sense, this work proposes a model to measure luggage through a low-cost depth sensor as an alternative to obtain and verify its dimension. To do so, we developed an algorithm that obtains a 3D point cloud of the luggage surface through a Microsoft Kinect V2 sensor. After that, we generate the minimum polygon that cover these points, a process called convex hull. By doing so, we are able to obtain the luggage’s dimensions. To test our approach, we implemented our model in MATLAB and created a real-world prototype. The results indicate that the mean absolute error is 1.33cm, 1.90cm, and 0.52 cm for the width, length, and depth, respectively, which indicates that this technology has the potential to become an alternative technology to detect the luggage’s dimensions.

Keywords: self bag drop; luggage dimensions; internet of things; computer vision

Como citar

ABNT

SILVA, Vitor de Almeida; RORIZ JUNIOR, Marcos Paulino; BANDEIRA, Michelle Carvalho Galvão da Silva Pinto. A Computer Model for Detecting Airport Luggage's Dimensions Using Low-Cost Depth Sensors. In: SIMPÓSIO DE TRANSPORTE AÉREO, 19., 2022, São José dos Campos. Anais [...]. São José dos Campos: SBTA, 2022. p. 355-363. ISSN 2448-1912. Disponível em: https://sitraer-sbta.org/anais-2022-sit149.html.

APA

Silva, V. A., Roriz Junior, M. P., & Bandeira, M. C. G. S. P. (2022). A Computer Model for Detecting Airport Luggage's Dimensions Using Low-Cost Depth Sensors. In G. M. R. Borille, R. A. Gomes, E. J. Silva, M. Caetano, & C. A. Pereira (Eds.), Proceedings of SITRAER 2022 – Air Transportation Symposium (pp. 355–363). SBTA. https://sitraer-sbta.org/anais-2022-sit149.html

BibTeX
@inproceedings{silva2022a,
  author = {Silva, Vitor de Almeida and Roriz Junior, Marcos Paulino and Bandeira, Michelle Carvalho Galvão da Silva Pinto},
  title = {{A Computer Model for Detecting Airport Luggage's Dimensions Using Low-Cost Depth Sensors}},
  booktitle = {Proceedings of SITRAER 2022 – Air Transportation Symposium},
  editor = {Borille, Giovanna Miceli Ronzani and Gomes, Rogéria de Arantes and Silva, Evandro José da and Caetano, Mauro and Pereira, Cláudia Azevedo},
  pages = {355--363},
  year = {2022},
  address = {São José dos Campos, SP, Brasil},
  publisher = {Sociedade Brasileira de Pesquisa em Transporte Aéreo (SBTA)},
  issn = {2448-1912},
  url = {https://sitraer-sbta.org/anais-2022-sit149.html}
}