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  Published Paper Details:

  Paper Title

Real-Time Object Identification FOR Visually Impaired Peers

  Authors

  S Dheeraj Kumar,  M Senthil Kumaran,  J Himavanth

  Keywords

NumPy, OpenCV, Time, Video Capture, YOLO.

  Abstract


Real-Time Object Detection is a challenging aspect, improving day to day in its accuracy. Deep Learning gained a tremendous influence on the world is adapting to Artificial Intelligence.It acts as a basic and most aiding tool for blind people or visually challenged people. Nowadays blind people can recognize surroundings through sensors and Actuators according to the situation around them. Some of the popular algorithms for Object detection are Region-based Convolutional Networks (RCNN), Single Shot Detector(SSD), Faster-RCNN, You Look Only Once (YOLO). The main Objective is to provide improved accuracy in identifying and transferring the object detected in real-time through audio as a medium of communication . The parameters like minimum Average precision (mAP), Frames Per Second (FPS) are considered for better accuracy. The YOLO ( You Look Only Once) algorithm is applied for Computation. A Real Time System is developed to help visually impaired people.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2303738

  Paper ID - 232985

  Page Number(s) - g333-g338

  Pubished in - Volume 11 | Issue 3 | March 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  S Dheeraj Kumar,  M Senthil Kumaran,  J Himavanth,   "Real-Time Object Identification FOR Visually Impaired Peers", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 3, pp.g333-g338, March 2023, Available at :http://www.ijcrt.org/papers/IJCRT2303738.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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