Blind Assistance System using Image Processing

α
K Sahaja
K Sahaja
σ
P. Rama Devi
P. Rama Devi
ρ
S. Santrupth
S. Santrupth
Ѡ
M. P. Tony Harsha
M. P. Tony Harsha
¥
K.  Balasubramanyam Reddy
K. Balasubramanyam Reddy

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Blind Assistance System using Image Processing

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Abstract

Eye diseases usually cause blindness and visual impairment. As per the statistics, there are over 285 million visually impaired people living worldwide. They come across many troubles in their daily life, especially while navigating from one place to another on their own. They often depend on others for help to satisfy their day-to-day needs. So, it is quite a challenging task to implement a technological solution to assist them. Several technologies were developed for the assistance of visually impaired people. One such attempt is that we would wish to make an Integrated Machine Learning System that allows the blind victims to identify and classify real-time objects generating voice feedback and distance. Which also produces warnings whether they are very close or far away from the thing.

References

5 Cites in Article
  1. D Choi,Kim (2018). Trends on Object Detection Techniques Based on Deep Learning.
  2. J Dai (2016). R-FCN: Object Detection via Region-based Fully Convolutional Networks.
  3. N Dalal,B Triggs (2015). Histograms of Oriented Gradients for Human Detection.
  4. Olga Russakovsky,Jia Deng,Hao Su,Jonathan Krause,Sanjeev Satheesh,Sean Ma,Zhiheng Huang,Andrej Karpathy,Aditya Khosla,Michael Bernstein,Alexander Berg,Li Fei-Fei (2015). ImageNet Large Scale Visual Recognition Challenge.
  5. Rajeshvaree Ravindra,Karmarkar (2021). Object Detection System for the Blind with Voice Guidance.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

K Sahaja. 2026. \u201cBlind Assistance System using Image Processing\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 22 (GJCST Volume 22 Issue D2): .

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Assistive technology helps visually impaired individuals navigate daily environments.
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST-D Classification: DDC Code: 617.7 LCC Code: RE52
Version of record

v1.2

Issue date

May 26, 2022

Language
en
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Published Article

Eye diseases usually cause blindness and visual impairment. As per the statistics, there are over 285 million visually impaired people living worldwide. They come across many troubles in their daily life, especially while navigating from one place to another on their own. They often depend on others for help to satisfy their day-to-day needs. So, it is quite a challenging task to implement a technological solution to assist them. Several technologies were developed for the assistance of visually impaired people. One such attempt is that we would wish to make an Integrated Machine Learning System that allows the blind victims to identify and classify real-time objects generating voice feedback and distance. Which also produces warnings whether they are very close or far away from the thing.

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Blind Assistance System using Image Processing

K Sahaja
K Sahaja
P. Rama Devi
P. Rama Devi
S. Santrupth
S. Santrupth
M. P. Tony Harsha
M. P. Tony Harsha
K.  Balasubramanyam Reddy
K. Balasubramanyam Reddy

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