Detección de pallets mediante técnicas de visión por computador

  1. David Ramos Porres
  2. J. Enrique Sierra 1
  1. 1 Universidad de Burgos
    info

    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

Book:
XL Jornadas de Automática: libro de actas. Ferrol, 4-6 de septiembre de 2019
  1. Jose Luis Calvo Rolle (coord.)
  2. Jose Luis Casteleiro Roca (coord.)
  3. María Isabel Fernández Ibáñez (coord.)
  4. Óscar Fontenla Romero (coord.)
  5. Esteban Jove Pérez (coord.)
  6. Alberto José Leira Rejas (coord.)
  7. José Antonio López Vázquez (coord.)
  8. Vanesa Loureiro Vázquez (coord.)
  9. María Carmen Meizoso López (coord.)
  10. Francisco Javier Pérez Castelo (coord.)
  11. Andrés José Piñón Pazos (coord.)
  12. Héctor Quintián Pardo (coord.)
  13. Juan Manuel Rivas Rodríguez (coord.)
  14. Benigno Rodríguez Gómez (coord.)
  15. Rafael Alejandro Vega Vega (coord.)

Publisher: Servizo de Publicacións ; Universidade da Coruña

ISBN: 978-84-9749-716-9

Year of publication: 2019

Pages: 772-778

Congress: Jornadas de Automática (40. 2019. Ferrol)

Type: Conference paper

DIALNET GOOGLE SCHOLAR lock_openRUC editor

Abstract

Nowadays the AGVs known the positions of the pallets because they store their localizations. If the position of some pallet is modified by any external agent to the system, for example manned transport systems, the stored position would not match with the real one, and the AGV could not pick it. For this reason, it is needed to include optical sensors in the AGVs to identify the pallets in real time and update their trajectories. In this work a state of art on pallet detection is performed, the most suitable vision system is identified for this application, and a new algorithm based on computer vision techniques is proposed. Empirical results contrast the validity of the proposal

Data source: Dialnet