Robust Object Detection and Tracking Model for Visually Impaired People Using Deep Convolution Neural Network Model-Reference-Cited by-同舟云学术

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Robust Object Detection and Tracking Model for Visually Impaired People Using Deep Convolution Neural Network Model

Published:2023-11-15 Issue: Volume: Page:1593-1598
ISSN:
Container-title:2023 International Conference on Sustainable Communication Networks and Application (ICSCNA)
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Author:

Priyanka R.¹,Vivekrabinson K.²,Kathijanasreen A.³,Chembian W T⁴,Veerasundar Atharvaa⁵,S Srimathi⁶

Affiliation:

1. College of Engineering and Technology, SRM Institute of Science and Technology,Department of Networking and Communications, School of Computing,Kattankulathur,Tamilnadu

2. Kalasalingam Academy of Research and Education,Department of CSE,Krishnankoil

3. R.M.K College of Engineering and Technology,CSE department

4. Vel Tech High Tech Dr. Rangarajan Dr.Sakuntala Engineering College,Department of CSE

5. 12th Greenwood High International High School,Bengaluru,560087

6. Saveetha School of Engineering, SIMATS,Department of Bio Technology,Chennai,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10370002/10368600/10370133.pdf?arnumber=10370133

Reference20 articles.

1. Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and meta-analysis

2. An Electromagnetic Sensor Prototype to Assist Visually Impaired and Blind People in Autonomous Walking

3. EyeBill-PH: A Machine Vision of Assistive Philippine Bill Recognition Device for Visually Impaired

4. Sensor-based reactive navigation in unknown convex sphere worlds

5. Stereo Vision Based Sensory Substitution for the Visually Impaired

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