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Electronic Bracelet with Artificial Vision for Assisting Blind People

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

Abstract

In recent years technological progress has enabled the development of new applications in different fields, among which there is social aid as one of the areas in constant growth, where various applications and electronic devices have been developed. Visual disability and blindness are the main types of disabilities that are present in human beings around the world. This document presents the development of a bracelet prototype that uses artificial vision to assist blind people, providing information to the user about the recognition of garments with their corresponding colors, and using the camera for acquiring images in real-time with hearing feedback. The proposed system is constituted by bof2 subprocesses. The first carries out the detection of garments and consists of 5 steps: image processing, training with images, garment detection, comparison, and result. The second subprocess carries out color detection. The method of HAAR feature-based classifiers was used here, which yielded average detections of 88.3% depending on the size of the garment and the distance to it.

Original languageEnglish
Title of host publicationLecture Notes in Networks and Systems
Subtitle of host publicationInternational Conference on Computer Science, Electronics and Industrial Engineering (CSEI) - Advances and Applications in Computer Science, Electronics and Industrial Engineering. Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2022
EditorsMarcelo V. Garcia, Carlos Gordón-Gallegos
PublisherSpringer Science and Business Media Deutschland GmbH
Pages366-379
Number of pages14
ISBN (Print)9783031305917
DOIs
StatePublished - 2023
EventInternational Conference on Computer Science, Electronics, and Industrial Engineering, CSEI 2022 - Ambato, Ecuador
Duration: 7 Nov 202211 Nov 2022

Publication series

NameLecture Notes in Networks and Systems
Volume678 LNNS

Conference

ConferenceInternational Conference on Computer Science, Electronics, and Industrial Engineering, CSEI 2022
Country/TerritoryEcuador
CityAmbato
Period7/11/2211/11/22

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Artificial Vision
  • Object detection
  • OpenCV

CACES Knowledge Areas

  • 417A Electronics, Automation and Sound

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