Augmented Reality Labels for Security Signs based on Color Segmentation with PSO for Assisting Colorblind People

  • Martín Montes Rivera Universidad Poitécnica de Aguascalientes https://orcid.org/0000-0003-3897-6212
  • Alejandro Padilla Díaz Universidad Autónoma de Aguascalientes
  • Juana Canul Reich Universidad Juárez Autónoma de Tabasco
  • Julio César Ponce Gallegos Universidad Autónoma de Aguascalientes
  • Alberto Ochoa Zezzatti Universidad Autónoma de Ciudad Juarez
Keywords: PSO, Color Classification, Augmented Reality, Security Signs, Colorblindness

Abstract

There are people who cannot perceive the entire spectrum of colors, this condition is called Colorblindness, which affects around 10% of worldwide population. Colorblindness distresses several situations in daily life of people with this mild disability and security is one of those, since several norms around the world that regulate security signs (including the norm NOM-026-STPS-1998) use color for classifying required those sings. However augmented reality is an emerging approach for assisting people in industrial environments, especially with the so called 4th industrial revolution or industry 4.0. Augmented reality uses complex techniques of computer vision, that recently have been replaced by artificial intelligence algorithms, in this paper is proposed an assistant of augmented reality that label security signs identified with color segmentation achieved by classifying colors with proposed linear equations depending directly from RGB space, those equations are optimized with a PSO algorithm, and with that color information signs are recognized and labeled for retransmitted to the user.

Published
2019-03-11
How to Cite
Rivera, M., Padilla Díaz, A., Canul Reich, J., Ponce Gallegos, J. C., & Ochoa Zezzatti, A. (2019). Augmented Reality Labels for Security Signs based on Color Segmentation with PSO for Assisting Colorblind People. International Journal of Combinatorial Optimization Problems and Informatics, 10(3), 7-20. Retrieved from https://ijcopi.org/index.php/ojs/article/view/120
Section
Articles