Visual assistant object detection for blind person

Registration ID: IJNRD_218302

Published ID: IJNRD2404413

DOI: Click Here to Get

Shweta Zunje , Sakshi Thorat , Shailesh Jadhav , Bhausaheb Shinde

KEYWORDS: Index terms: tracking-by detection, you only look once (yolo), simple online and realtime tracking (SORT), tools operated: python IDLE shell/ pychram programming language: python programming language.

Abstract— The technique presented in this paper uses a stereo camera system based on structural light to measure item size automatically and accurately. The four steps of the approach are depth interpolation, object detection, preprocessing, and key point extraction prior to size calculation. Initially, during the preprocessing stage, the RGB and depth frames are matched.

Published Paper   E-Certificate

Shweta Zunje, Sakshi Thorat, Shailesh Jadhav, & Bhausaheb Shinde (April-2024). Visual assistant object detection for blind person. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), e103-e105. https://ijnrd.org/papers/IJNRD2404413.pdf

Volume 9 Issue 4, April-2024

Pages : e103-e105

Paper Reg. ID: IJNRD_218302

Published Paper Id: IJNRD2404413

Downloads: 000121994

Research Area: Electronics & Communication Engg. 

Country: Pune Maharashtra, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404413.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404413

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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