A Systematic Review on Product Recognition for Aiding Visually Impaired People

Authors

  • André Machado Federal University of Piauí
  • Rodrigo Veras Federal University of Piauí
  • Kelson Aires Federal University of Piauí
  • Laurindo de Sousa Britto Neto Universidade Federal do Piauí

Keywords:

visually impaired people, object recognition, review

Abstract

In recent years, Computer Vision and Machine Learning techniques have been extensively explored in the creation of assistive systems for the visually impaired. One of the most challenging tasks for visually impaired people is object recognition. In this paper, we conducted a systematic review to identify the current state of the art in designing these assistive systems. Due to the huge amount of object categories, we focused on recognizing products, such as those found in grocery stores, pantries and refrigerators. We analyze the techniques used, noting the efficiency and economy of hardware resources such as processing, memory and battery. Thus we verify if they can be used in wearable systems and adapted to existing devices of the Internet of Things (IoT), enabling the proposition of efficient and accessible assistive product recognition systems.

Author Biographies

André Machado, Federal University of Piauí

{André de Lima Machado} received his Bachelor’s degree in Computer Science from Federal University of Piauí (2014). He is currently a Master Degree student in Computer Science. His current research’s interest are applications in Computer Vision and Neural Networks.

Rodrigo Veras, Federal University of Piauí

{Rodrigo de Melo Souza Veras} received the B.S. (2005) degree in Computer Science at Federal University of Piauí and M.Sc.(2007) degree in Computer Science at Federal University of Ceará. He obtained his Ph.D (2014) degree in Teleinformatics Engineering at Federal University of Ceará. Currently, he is Professor at Federal University of Piauí.

Kelson Aires, Federal University of Piauí

{Kelson Romulo Teixeira Aires} received the B.S. (1999) degree in Electric Engineering, M.Sc. (2001) and Ph.D (2009) degrees in Computer Engineering at Federal University of Rio Grande do Norte. Currently, he is Professor at Federal University of Piauí.

Laurindo de Sousa Britto Neto, Universidade Federal do Piauí

{Laurindo de Sousa Britto Neto} received the B.Sc. degree in Information Systems from the FATEPI (2004), the M.Sc. degree in Systems and Computing from the UFRN (2007) and the Ph.D. degree in Computer Science from the Unicamp (2016). He is a Professor at the Department of Computing, UFPI. His interests lie in computer vision, image processing, computer graphics and human-computer interaction.

Published

2020-10-06
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