Static Indoor Object Detection Using MATLAB For Visually Impaired

Authors

  • Shaha P Department of Computer Science and Engineering
  • Kshatriya N Department of Computer Science and Engineering
  • Borse R Department of Information Technology, Vellore Institute of Technology, Vellore, India

Keywords:

Image processing, Machine learning, Indoor object detection, Visually Impaired, Blind people, Navigation, Object recognition applications, MATLAB

Abstract

Detection of indoor static objects by visually impaired without help of third person is a crucial task. The indoor object detection enables a visually impaired to settle on suitable and convenient choices of route to follow in an indoor area. Literature presents that methods such as Electronic Travel Aids (ETA), Augmented Reality (AR) and Navigation Assistance for Visually Impaired (NAVI) are used to assist visually impaired. These methods are expensive and involves overhead for every decision. This paper presents an algorithmic based model which uses machine learning technique. In the proposed methodology firstly, the database is prepared which consist of various images of objects to train the system. During the use, the image which is captured by the visually impaired is compared with entries of the database to detect the object. The experiments were conducted using MATLAB for image recognition and analysis.

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Published

2025-11-11

How to Cite

[1]
P. Shaha, N. Kshatriya, and R. Borse, “Static Indoor Object Detection Using MATLAB For Visually Impaired”, Int. J. Comp. Sci. Eng., vol. 4, no. 8, pp. 33–37, Nov. 2025.

Issue

Vol. 4 No. 8 (2016): IJCSE August Edition

Section

Research Article

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