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Aids for Visually Impaired Persons for Obstacle Acknowledgment: A Study and Proposed New Framework

IJCA Proceedings on International Conference on Advancements in Engineering and Technology
© 2016 by IJCA Journal
ICAET 2016 - Number 9
Year of Publication: 2016
Preetjot Kaur
Sumandeep Kaur

Preetjot Kaur and Sumandeep Kaur. Article: Aids for Visually Impaired Persons for Obstacle Acknowledgment: A Study and Proposed New Framework. IJCA Proceedings on International Conference on Advancements in Engineering and Technology ICAET 2016(9):5-12, September 2016. Full text available. BibTeX

	author = {Preetjot Kaur and Sumandeep Kaur},
	title = {Article: Aids for Visually Impaired Persons for Obstacle Acknowledgment: A Study and Proposed New Framework},
	journal = {IJCA Proceedings on International Conference on Advancements in Engineering and Technology},
	year = {2016},
	volume = {ICAET 2016},
	number = {9},
	pages = {5-12},
	month = {September},
	note = {Full text available}


From the gift of current innovations, particularly in the versatile innovative world of computer vision and so forth, the blind/vision weakened individuals' lives are getting to be vivid. They are presently pondering themselves differently on account of these helpful devices that are going to be as a general rule which were once just in heart's craving. A great deal of techniques and applications has been made by some extraordinary analysts. In this paper, computer vision strategies to bolster visually impaired or vision hindered individuals are referred to and several techniques of different specialists are talked about. Their merits and demerits are addressed and comparative analysis is made among them based on several parameters such as Recognition Rate, Time, efficiency etc.


  • Blindness, http://www. who. int/features/factfiles/blindness/blindness_facts/en/index7/. W. H. (2014).
  • Schroeder, F. K. (2010). An Introduction to the Journal of Blindness Innovation and Research. JBIR - Journal of Blindness Innovation and Research, 1.
  • T. Ifukube, T. S. (1991). A blind mobility aid modeled after echolocation of bats. Biomedical Engineering, IEEE Transactions (pp. 461 - 465). Japan: IEEE.
  • N. Molton, S. S. (1997). A stereo vision-based aid for the visually impaired. Elsevier.
  • González-Mora J. L. , R. -H. A. -R. -S. (1999). Development of a new space perception system for blind people, based on the creation of a virtual acoustic space. Springer,pp. 321-330.
  • Farrah Wong, R. S. (2003). Application of stereovision in a navigation aid for blind people. Information, Communications and Signal Processing, 2003 and Fourth Pacific Proceedings of the 2003 Joint Conference of the Fourth International Conference on (Volume: 2) (pp. 734 - 737 vol. 2). Singapore: IEEE.
  • Herbert Bay, T. T. (2006). SURF: Speeded Up Robust Features. 9th European Conference on Computer Vision (pp 404-417). Graz, Austria: Springer Berlin Heidelberg.
  • VivekPardeep, G. M. (2010). Robot vision for the visually impaired. IEEE.
  • DimitriosDakopoulos, N. G. (2010). Wearable Obstacle Avoidance Electronic Travel Aids for Blind: A Survey. IEEE Transactions on systems, man & cybernetics Vol. 40, No. 1. USA: IEEE.
  • Hui Huang, L. L. (Aug. 2010). A new scale invariant feature detector and modified SURF descriptor. Natural Computation (ICNC), 2010 Sixth International Conference on (Volume: 7) (pp. 3734 - 3738). Yantai, Shandong: IEEE.
  • Tian, R. C. (2011). Finding Objects for Blind People Based on SURF Features. International Conference on Bioinformatics and Biomedicine Workshops. New York, USA: IEEE.
  • Diego López-de-Ipiña, T. L. (2011). BlindShopping: Enabling Accessible Shopping for Visually Impaired People through Mobile Technologies. Springer-Verlag Berlin Heidelberg, LNCS 6719, pp. 266–270.
  • Xiaodong Yang, Y. T. (2011). Context-based indoor object detection as an aid to blind persons accessing unfamiliar environments. MM '10 Proceedings of the 18th ACM international conference on Multimedia (pp. 1087-1090). New York, USA: ACM, ISBN: 978-1-60558-933-6.
  • Boris Schauerte, M. M. (2012). An Assistive Vision System for the Blind That Helps Find Lost Things. 13th International Conference, ICCHP 2012 (pp. 566-572). Germany: Springer Berlin Heidelberg.
  • RabiaJafri, S. A. (2013). Computer Vision-based object recognition for the visually impaired using visual tags. The 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV '13). Las Vegas, Nevada, USA.
  • Chucai Yi, R. W. (2013). Finding objects for assisting blind people. Network Modeling Analysis in Health Informatics and Bioinformatics,pp. 71-79.
  • Cheng-Lung Lee, C. -Y. C. -C. -Y. (2013). Assessment of a simple obstacle detection device for the visually impaired. Elsevier,pp. 817-824.
  • R. Gnana Praveen, R. P. (2013). Blind Navigation Assistance for Visually Impaired based on Local Depth Hypothesis from a Single Image. International Conference on Design and Manufacturing (IConDM2013). Volume 64, pp. Pages 351–360. Elsevier.
  • Navya Amin, M. B. (2014). Obstacle detection techniques for navigational assistance of the visually impaired. Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference DOI 10. 1109/ICARCV. 2014. 7064613 (pp. 1941 - 1944). Singapore: IEEE.
  • MarutTripathi, M. k. (june 2014). Darshan: Electronics Guidance For The Navigation Of Visually Impaired Person. International Journal for Research In Applied Science & Engineering Technology (IJRASET).
  • B. MohanSitaramaiah, M. (January 2015). ELECTRONIC GUIDE CANE WITH ULTRASONIC. International Journal of Advanced Technology in Engineering and Science Volume No. 03, Issue No. 01.
  • Mohamed L. Mekhalfia, F. M. -M. (2015). Recovering the sight to blind people in indoor environments with smart technologies. Elsevier,pp. 129- 138.
  • Alexandrov, Ventzislav. "Error Evaluation and Applicability of OCR Systems. " International Conference on Computer Systems and Technologies - CompSysTech'2003. 2003.
  • Division of Public Affairs (DPA), Office of the Associate Director for Communication (OADC). (2011). Blindness and Vision Impairment. Atlanta: U. S. Department of Health & Human Services.