INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, 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)
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.
"ENHANCING QUALITY CONTROL: A DEEP LEARNING APPROACH FOR VISUAL INSPECTION", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 5, page no.340-402, May-2024, Available :http://www.ijnrd.org/papers/IJNRDTH00144.pdf
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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
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