ENHANCING QUALITY CONTROL: A DEEP LEARNING APPROACH FOR VISUAL INSPECTION

Registration ID: IJNRD_220011

Published ID: IJNRDTH00144

DOI: Click Here to Get

S.MANOJ KUMAR , M.MARKANDAYAN , P. YUVARAJ , B.ASWINKANTH

Quality assurance , Deep learning , Defect detection , visual inspection method.

The production and distribution of bottled water have witnessed exponential growth globally, driven by factors such as convenience, health consciousness, and urbanization. With this surge in demand, ensuring the quality and integrity of bottled water products has become a top priority for manufacturers. Central to this endeavour is the need for effective inspection methods to detect and mitigate defects that may compromise product safety and consumer satisfaction. With the proliferation of bottled water consumption, ensuring the quality and safety of water bottles has become increasingly vital. Visual inspection methods provide a non-invasive and efficient means of identifying defects in water bottles during manufacturing processes. In this study, we propose a novel approach for the visual inspection of water bottles using YOLO, a deep learning architecture known for its effectiveness in image classification tasks. The proposed system employs YOLO algorithm to analyse images of water bottles captured by cameras installed along the production line. By leveraging the hierarchical feature representations learned by YOLO algorithm, our method aims to accurately classify water bottles into categories such as "defective" or "acceptable" based on the presence of defects such as scratches, dents, or impurities. We also explore strategies for optimizing model hyperparameters and training parameters to improve classification performance.

Published Paper   E-Certificate

S.MANOJ KUMAR, M.MARKANDAYAN, P. YUVARAJ, & B.ASWINKANTH (May-2024). ENHANCING QUALITY CONTROL: A DEEP LEARNING APPROACH FOR VISUAL INSPECTION. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), 340-402. https://ijnrd.org/papers/IJNRDTH00144.pdf

Volume 9 Issue 5, May-2024

Pages : 340-402

Paper Reg. ID: IJNRD_220011

Published Paper Id: IJNRDTH00144

Downloads: 000121996

Research Area: Computer Engineering 

Country: madurai, tamil nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRDTH00144.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRDTH00144

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 | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

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

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.

How to submit the paper?

By Our website

Click Here to Submit Paper Online

By Mail

Send your paper to editor@ijnrd.org

Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-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: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details