Paper Title

Real time object detection using deep learning

Article Identifiers

Registration ID: IJNRD_222711

Published ID: IJNRD2405816

DOI: Click Here to Get

Authors

Nikhil Anil Deshmukh

Keywords

Keywords: Object detection; SSD method; deep learning.

Abstract

As technology developed, object detection attracted the attention of researchers due to its link to image and video analysis. Earlier object identification techniques relied on trainable algorithms, flawed structures, and manually generated features. Since many object recognition systems depend on other computer vision techniques to bolster their deep learning-based methodology, they frequently operate slowly and poorly. One of the main issues with these systems is this. In this research, we provide a comprehensive solution to the object detection problem using deep learning. The single shot detector (SSD) methodology is the quickest method for object detection from an image using a single layer of a convolution network. Our research's primary goal is to increase the SSD technique's accuracy.

How To Cite

"Real time object detection using deep learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.I138-I148, May-2024, Available :https://ijnrd.org/papers/IJNRD2405816.pdf

Issue

Volume 9 Issue 5, May-2024

Pages : I138-I148

Other Publication Details

Paper Reg. ID: IJNRD_222711

Published Paper Id: IJNRD2405816

Downloads: 000121177

Research Area: Computer Science & Technology 

Country: Akola, Maharashtra , India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405816.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405816

About Publisher

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

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Call For Paper

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.

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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