Object Detection opencv using Python

Object Detection opencv using Python

Registration ID: IJNRD_220918

Published ID: IJNRD2405239

DOI: Click Here to Get

Agnes A , Sam salamon raja , Pushparaj , Abrar

Opencv, python, object detection,visually impaired,real-time assistance

This paper presents a novel approach to enhancing accessibility for visually impaired individuals through object detection technology implemented using OpenCV. Leveraging state-of-the-art object detection models, we develop a real-time system capable of detecting objects in camera feeds and providing auditory feedback for navigation and interaction with the environment. The integration of OpenCV enables efficient object detection, bounding box visualization, confidence thresholding, and non-maximum suppression, contributing to the development of assistive technologies for the visually impaired. Through a comprehensive review of existing literature, we identify gaps and opportunities for innovation in developing accessible solutions for the visually impaired. Our methodology involves the selection and adaptation of object detection models, implementation of OpenCV for real-time object detection, and integration of auditory feedback for user interaction. We detail the implementation process, including preprocessing of input images, object detection using selected models, visualization of bounding boxes, and application of confidence thresholding and non-maximum suppression to refine detected objects. Results from experiments demonstrate the effectiveness of the object detection system in assisting visually impaired individuals, with evaluation based on detection accuracy, processing speed, and user feedback. The discussion interprets the results, addressing the strengths and limitations of our approach and proposing future research directions. In conclusion, this paper highlights the significance of integrating OpenCV for developing accessible solutions for the visually impaired and outlines avenues for further advancement in assistive technologies and computer vision.

Published Paper   E-Certificate

"Object Detection opencv using Python", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.c340-c345, May-2024, Available :https://ijnrd.org/papers/IJNRD2405239.pdf

Volume 9 Issue 5, May-2024

Pages : c340-c345

Paper Reg. ID: IJNRD_220918

Published Paper Id: IJNRD2405239

Downloads: 000121156

Research Area: Engineering

Country: Tirunelveli, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405239.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405239

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

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

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area