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Call for Papers:Vol.11 Issue.3

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Title: :  YOLOV3-BASED OBJECT DETECTION FOR VISUALLY IMPAIRED
PaperId: :  21908
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 6 2023
DUI:    16.0415/IJARIIE-21908
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
MJ SHASHANKBANGALORE INSTITUTE OF TECHNOLOGY
DEVADATH VARMABANGALORE INSTITUTE OF TECHNOLOGY
AADHAR KUMAR MISHRABANGALORE INSTITUTE OF TECHNOLOGY

Abstract

COMPUTER ENGINEERING
YOLOv3, Object detection, Blind, Deep learning model
The YOLOv3 algorithm, or "You Only Look Once version 3," offers a groundbreaking approach to object detection with significant implications for aiding the visually impaired. This innovative deep learning model excels in real-time object detection, making it a valuable tool for the blind and visually impaired. YOLOv3 operates by processing an image through a series of convolutional layers, identifying and precisely locating objects. For the visually impaired, this technology can be leveraged through custom applications or wearable devices that provide real-time object recognition, alerting users to the presence and position of objects in their environment. It has the potential to enhance independence and safety by enabling users to navigate unfamiliar surroundings more confidently. The YOLOv3 algorithm's remarkable speed and accuracy, along with its accessibility features, make it a powerful tool for creating inclusive solutions for the visually impaired, ultimately improving their quality of life and mobility.

Citations

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IJARIIE MJ SHASHANK, DEVADATH VARMA, and AADHAR KUMAR MISHRA. "YOLOV3-BASED OBJECT DETECTION FOR VISUALLY IMPAIRED" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 6 2023 Page 13-17
MLA MJ SHASHANK, DEVADATH VARMA, and AADHAR KUMAR MISHRA. "YOLOV3-BASED OBJECT DETECTION FOR VISUALLY IMPAIRED." International Journal Of Advance Research And Innovative Ideas In Education 9.6(2023) : 13-17.
APA MJ SHASHANK, DEVADATH VARMA, & AADHAR KUMAR MISHRA. (2023). YOLOV3-BASED OBJECT DETECTION FOR VISUALLY IMPAIRED. International Journal Of Advance Research And Innovative Ideas In Education, 9(6), 13-17.
Chicago MJ SHASHANK, DEVADATH VARMA, and AADHAR KUMAR MISHRA. "YOLOV3-BASED OBJECT DETECTION FOR VISUALLY IMPAIRED." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 6 (2023) : 13-17.
Oxford MJ SHASHANK, DEVADATH VARMA, and AADHAR KUMAR MISHRA. 'YOLOV3-BASED OBJECT DETECTION FOR VISUALLY IMPAIRED', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 6, 2023, p. 13-17. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/YOLOV3_BASED_OBJECT_DETECTION_FOR_VISUALLY_IMPAIRED_ijariie21908.pdf (Accessed : 13 December 2023).
Harvard MJ SHASHANK, DEVADATH VARMA, and AADHAR KUMAR MISHRA. (2023) 'YOLOV3-BASED OBJECT DETECTION FOR VISUALLY IMPAIRED', International Journal Of Advance Research And Innovative Ideas In Education, 9(6), pp. 13-17IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/YOLOV3_BASED_OBJECT_DETECTION_FOR_VISUALLY_IMPAIRED_ijariie21908.pdf (Accessed : 13 December 2023)
IEEE MJ SHASHANK, DEVADATH VARMA, and AADHAR KUMAR MISHRA, "YOLOV3-BASED OBJECT DETECTION FOR VISUALLY IMPAIRED," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 6, pp. 13-17, Nov-Dec 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/YOLOV3_BASED_OBJECT_DETECTION_FOR_VISUALLY_IMPAIRED_ijariie21908.pdf [Accessed : 13 December 2023].
Turabian MJ SHASHANK, DEVADATH VARMA, and AADHAR KUMAR MISHRA. "YOLOV3-BASED OBJECT DETECTION FOR VISUALLY IMPAIRED." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 6 (13 December 2023).
Vancouver MJ SHASHANK, DEVADATH VARMA, and AADHAR KUMAR MISHRA. YOLOV3-BASED OBJECT DETECTION FOR VISUALLY IMPAIRED. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 13 December 2023]; 9(6) : 13-17. Available from: https://ijariie.com/AdminUploadPdf/YOLOV3_BASED_OBJECT_DETECTION_FOR_VISUALLY_IMPAIRED_ijariie21908.pdf
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