Wearable Face Recognition System to Aid Visually Impaired People

Authors(2) :-Poonam Liladhar Agrawal, Prof. D. D. Patil

Visually impaired people faces lot of problems in day to day life. Our goal is to make them lead a life which is of security and safety for their own wellbeing. The inability to recognize known individuals in the absence of audio or haptic cues severely restrictions the visually impaired in their social interactions and puts them at risk from a security viewpoint. Different systems have been developed to aid them so; they can help themselves without the help of second person. In recent years, several prototype systems have been developed to aid this people with the face recognition task. Overview of face recognition system is summarized for aiding the blind and low-vision people. In which one system uses a Microsoft Kinect sensor as a wearable device, performs face detection, and also generates a sound associated with the identified person, virtualized at his/her estimated 3-D location.

Authors and Affiliations

Poonam Liladhar Agrawal
Department of Computer Science & Engineering, Hindi Seva Mandal's, Shri Sant Gadge Baba College of Engineering & Technology, Bhusawal, Jalgaon, Maharashtra, India
Prof. D. D. Patil
Department of Computer Science & Engineering, Hindi Seva Mandal's, Shri Sant Gadge Baba College of Engineering & Technology, Bhusawal, Jalgaon, Maharashtra, India

Visually impaired, face recognition, wearable system, system, recognition

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 372-376
Manuscript Number : CSEIT1722113
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Poonam Liladhar Agrawal, Prof. D. D. Patil, "Wearable Face Recognition System to Aid Visually Impaired People", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.372-376, March-April-2017.
Journal URL : http://ijsrcseit.com/CSEIT1722113

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