Study Of Deep Learning Techniques For Differently Abled Applications And Detection Techniques

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Anandh N, et. al.


In worldwide, Visually Impaired Persons (VIP) are facing several issue related to visual impairment and blindness and they are assisted with technical inventions. Based on the survey from World Health Organization (WHO), around 2.2 billion peoples are suffered from visual impairment and among them 1 million peoples are suffered by blindness. Vision is the major sensing organ of the human and to assist the VIP regarding this, there are various digital vision products are in the market which is based on digital technologies and advanced algorithms. This will transform the VIP’s vision world into audio to get to know about their surroundings includes objects, motion, obstacles and spatial locations. The objective of this paper is to provide the detailed survey about the existing object recognition, face recognition and text to voice recognition methods proposed to assist VIP. Due to the increase development of machine learning and deep learning algorithms, the digital image recognition and object recognition are become more efficient. These advanced technologies can make sure to assist the VIP to detect and recognize the people face and objects in front of them in the form of audio that are practiced by them on daily basis.


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How to Cite
et. al., A. N. . (2021). Study Of Deep Learning Techniques For Differently Abled Applications And Detection Techniques. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(10), 5817–5829. (Original work published April 28, 2021)
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