International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Online Blind Assistive System using Object Recognition

Abstract

Everybody deserve to live independently, especially those who disabled, with the last decades, technology gives attention to disabled to make them control their life as possible. In this work, assistive system for blind is suggested, to let him knows what is around him, by using YOLO for detecting objects within images and video streams quickly based on deep neural network to make accurate detection, and OpenCV under Python using Raspberry Pi3. The obtained results indicated the success of the proposed model in giving blind users the capability to move around in unfamiliar indoor outdoor environment, through a user friendly device by person and object identification model.

Country : Iraq

1 Abdul Muhsin M2 Farah F. Alkhalid3 Bashra Kadhim Oleiwi

  1. Control and Systems Engineering Department, University of Technology, Iraq
  2. Control and Systems Engineering Department, University of Technology, Iraq
  3. Control and Systems Engineering Department, University of Technology, Iraq

IRJIET, Volume 3, Issue 12, December 2019 pp. 47-51

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