Open AccessDesign and Implementation of Facial Recognition System for Visually Impaired using Image Processing
Author(s) -
S.Kanaga Suba Raja*,
Mr.M. Vivekanandan*,
Dr.S. Usha Kiruthika,
S. Akila R.Janani Ayshwarya
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d7676.118419
Subject(s) - computer science , facial recognition system , face (sociological concept) , artificial intelligence , computer vision , image processing , face detection , identification (biology) , visually impaired , three dimensional face recognition , field (mathematics) , raspberry pi , image (mathematics) , pattern recognition (psychology) , human–computer interaction , embedded system , social science , botany , mathematics , sociology , pure mathematics , biology , internet of things
One of the most difficult tasks faced by the visually impaired students is identification of people. The rise in the field of image processing and the development of algorithms such as the face detection algorithm, face recognition algorithm gives motivation to develop devices that can assist the visually impaired. In this research, we represent the design and implementation of a facial recognition system for the visually impaired by using image processing. The device developed consists of a programmed raspberry pi hardware. The data is fed into the device in the form of images. The images are preprocessed and then the input image captured is processed inside the raspberry pi module using KNN algorithm, The face is recognized and the name is fed into text to speech conversion module. The visually impaired student will easily recognize the person before him using the device. Experiment results show high face detection accuracy and promising face recognition accuracy in suitable conditions. The device is built in such a way to improve cognition, interaction and communication of visually impaired students in schools and colleges. This system eliminates the need of a bulk computer since it employs a handy device with high processing power and reduced costs.