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  Published Paper Details:

  Paper Title

Review of Intelligent Android-Based Object Detection and Identification System

  Authors

  Prof. Roshni Narkhede,  Shreyas Kumbhar,  Viren Lahamage,  Prashant Nangare

  Keywords

Object Detection, Android Application, YOLO, CNN (Convolutional Neural Network), Visually Impaired people, Computer Vision, Algorithms

  Abstract


One of the most vital senses for any individual is the ability to see. Unfortunately, millions of people worldwide grapple with vision impairments, which pose significant challenges in terms of communication and accessing information. This struggle often hinders their ability to navigate safely and independently. To address this issue, the proposed work seeks to transform the visible world into an auditory one. This transformation will be achieved by harnessing real-time object detection technology, empowering individuals with vision impairments to move autonomously without external assistance. Through the application of image processing and machine learning, the program can swiftly identify objects in real time using the camera and convey their locations to blind users through voice output. The inability to differentiate between objects has given rise to numerous problems, and this innovative technology aims to provide a solution.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTAF02089

  Paper ID - 260937

  Page Number(s) - 445-448

  Pubished in - Volume 12 | Issue 5 | May 2024

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Prof. Roshni Narkhede,  Shreyas Kumbhar,  Viren Lahamage,  Prashant Nangare,   "Review of Intelligent Android-Based Object Detection and Identification System", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.445-448, May 2024, Available at :http://www.ijcrt.org/papers/IJCRTAF02089.pdf

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


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