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Electronic Bracelet with Artificial Vision for Assisting Blind People

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CSEI: International Conference on Computer Science, Electronics and Industrial Engineering (CSEI) (CSEI 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 678))

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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.

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Authors and Affiliations

  1. Universidad Politécnica Salesiana, UPS, 170146, Quito, Ecuador

    Jessica Tipantuña, Alan Rodriguez, William Oñate & Gustavo Caiza

Authors
  1. Jessica Tipantuña
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  2. Alan Rodriguez
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  3. William Oñate
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  4. Gustavo Caiza
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Corresponding author

Correspondence to Gustavo Caiza .

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Editors and Affiliations

  1. Universidad del País Vasco, Bilbao, Spain

    Marcelo V. Garcia

  2. FISEI, Universidad Técnica de Ambato, Ambato, Ecuador

    Carlos Gordón-Gallegos

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Tipantuña, J., Rodriguez, A., Oñate, W., Caiza, G. (2023). Electronic Bracelet with Artificial Vision for Assisting Blind People. In: Garcia, M.V., Gordón-Gallegos, C. (eds) CSEI: International Conference on Computer Science, Electronics and Industrial Engineering (CSEI). CSEI 2022. Lecture Notes in Networks and Systems, vol 678. Springer, Cham. https://doi.org/10.1007/978-3-031-30592-4_25

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