Obstacle Detection System to Improve Mobility of People with Visual Impairment

A. Bermeo, M. Bravo, C. Punin, E. Ordoñez, M. Huerta

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


Visual information is one of the most important factors in the perception of the environment. People with Visual Impairment (VI) have many limitations to explore unfamiliar environments since they lack of vision. Previous works, carried out by other researchers, focus on helping people suffering from VI by using different technologies to improve environment percept, however, none of them analyzes the possibility of avoiding frontal obstacles at face height. That is why in thisarticle we propose a system for detecting obstacles in the superior frontal plane to improve the mobility of people with VI. The proposed system is based on ultrasound sensors and an Android application to process and communicate useful information. The system is low cost, wireless, ergonomic and user friendly. The results indicate that the system is capable of detecting (on average) 80% of frontal obstacles at face height. The implementation of the proposed system can improve the quality of life of people suffering from VI, providing independence in mobility in unfamiliar environments.

Original languageEnglish
Title of host publication2018 IEEE ANDESCON, ANDESCON 2018 - Conference Proceedings
EditorsJose David Cely Callejas
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538683729
StatePublished - 5 Dec 2018
Event9th IEEE ANDESCON, ANDESCON 2018 - Cali, Colombia
Duration: 22 Aug 201824 Aug 2018

Publication series

Name2018 IEEE ANDESCON, ANDESCON 2018 - Conference Proceedings


Conference9th IEEE ANDESCON, ANDESCON 2018

Bibliographical note

Funding Information:
ACKNOWLEDGMENT The authors gratefully acknowledge the support of the CUENCA-EP and NEURO-SISMO projects, Universidad Politecnica Salesiana from Ecuador.

Publisher Copyright:
© 2018 IEEE.


  • Ad-Hoc
  • ciegos
  • Discapacidad visual
  • Invidentes
  • RFID
  • sensor de ultrasonido
  • WiFi


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