In recent years, orientation and navigation technologies and support for people with visually impaired disabilities have increased. This paper proposes a model for the detection of objects for visually impaired individuals. We have developed a module for blind people to identify and match items scanned to a list of objects, such as currency notes, person and bottle, and the angle and distance of the object being detected from the camera. The model is based on image recognition from a database of objects. The results of the image recognition shall be communicated to the user by system audio feedback. © 2020 IEEE.

Sonia Khetarpaul

Computer Science and Engineering

(SoE) School of Engineering

Reddy K.K.S.N.

Yashwanth C.

Kvs S.

Sai P.A.T.V.

<p>Shiv Nadar University is a comprehensive, multidisciplinary, research-focused, and student-centric University offering a full range of academic programs at the undergraduate, postgraduate and doctoral level. With state-of-the-art infrastructure, the University comprises of academic wings, sophisticated labs, international standard sports facilities, amphitheaters, auditorium, conference rooms and smart classrooms. The University&rsquo;s goal is to become internationally recognized for the quality of its research and creative endeavors and their applicability to improving quality of life, generating new insights and expanding the boundaries of human knowledge creativity. Committed to excellence in teaching, research and service, the University aims to serve the higher education needs of India and the world beyond.</p>

Shiv Nadar University

Object and Currency Detection with Audio Feedback for Visually Impaired

2020 IEEE Region 10 Symposium, TENSYMP 2020