ENHANCING QUALITY CONTROL: A DEEP LEARNING APPROACH FOR VISUAL INSPECTION

Registration ID: IJNRD_220011

Published ID: IJNRDTH00144

: 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: 000122032

Research Area: Computer Engineering 

Author Type: Indian Author

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)

UGC CARE JOURNAL PUBLICATION | 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

© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License. and The Open Definition.

You are free to share, adapt, and redistribute the material, provided proper credit is given to the original author. 🛡️ Disclaimer: The content, data, and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses, or consequences arising from its use.

Call For Paper - Volume 10 | Issue 11 | November 2025

IJNRD is a Scholarly Open Access, Peer-Reviewed, Refereed, and UGC CARE Journal Publication 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, and Transparent Peer Review Journal Publication that adheres to the UGC CARE 2025 Peer-Reviewed Journal Policy and aligns with Scopus Journal Publication standards to ensure the highest level of research quality and credibility.

IJNRD offers comprehensive Journal Publication Services including indexing in all major databases and metadata repositories, Digital Object Identifier (Crossref DOI) assignment for each published article with additional fees, citation generation tools, and full Open Access visibility to enhance global research reach and citation impact.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse academic and professional fields. The journal promotes global knowledge exchange among researchers, developers, academicians, engineers, and practitioners, serving as a trusted platform for innovative, peer-reviewed journal publication and scientific collaboration.

Indexing Coverage: 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 other 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

You can now publish your research in IJNRD. IJNRD is a Transparent Peer-Reviewed Open Access Journal Publication (Refereed Journal), aligning with New UGC and UGC CARE recommendations.

For more details, refer to the official notice: UGC Public Notice

Submit Paper Online

Important Dates for Current issue

Paper Submission Open For: November 2025

Current Issue: Volume 10 | Issue 11 | November 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 30-Nov-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

Approval, Licenses and Indexing: More Details