 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)
|
Issue: December 2025
Volume 10 | Issue 12
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19463
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Object Recognition to Assist Visually Imapaired People |
| Authors Name: | k.Bhagya Rani , Dr.G.Srinivasa Rao , U.Pragathi , P.Nagalakshmi , V.Chendu |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_202989
|
| Published Paper Id: | IJRTI2504298 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | https://doi.org/10.56975/ijrti.v10i4.202989 |
| Abstract: | Real-time object detection is a crucial task in various computer vision applications, ranging from autonomous driving to video surveillance. This paper explores the combination of two powerful frameworks: YOLO (You Only Look Once) and RCNN (Region Convolutional Neural Networks) for efficient real-time object detection. YOLO, known for its speed and accuracy, is employed for its ability to predict bounding boxes and class probabilities in a single forward pass. On the other hand, RCNN, with its region proposal network (RPN), is leveraged to refine object detection by considering both high accuracy and the localization of objects in complex scenes. The integration of these two models aims to balance the trade-off between detection speed and precision, overcoming the limitations of previous approaches. Experiments show that the combined architecture outperforms traditional models in terms of both real-time performance and detection accuracy, making it a promising solution for deployment in resource-constrained environments. This research demonstrates the potential of hybrid models to push the boundaries of real-time object detection, offering new insights for future improvements in machine learning-based computer vision systems. |
| Keywords: | Index Terms: YOLO(You Only Look Once),RCNN (Region Convolutional Neural Networks), Computer vision, Machine learning, Hybrid models,Deep learning (Key words) |
| Cite Article: | "Object Recognition to Assist Visually Imapaired People", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.c631-c637, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504298.pdf |
| Downloads: | 000317 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2504298
Registration ID:202989
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i4.202989
Page No: c631-c637 Country: Bapatla, Andhra Pradesh, India Research Area: Social Science and Humanities Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504298 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504298 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||