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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
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21673
Article Published : 8541
Total Authors : 22459
Total Reviewer : 811
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| Paper Title: | QUALITY CHECK ANALYSIS OF GEAR ERROR DETECTION |
| Authors Name: | Aniket Dubbewar , Dr. Baliram Sambhaji Gayal , Sakshi Uttarwar , Om Jadhav |
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IJRTI_204669
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| Published Paper Id: | IJRTI2506068 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | |
| Abstract: | In traditional sampling methods, manufacturers often inspect only a few items—such as 2 or 3 gears out of a batch of 100—to determine overall quality. However, this approach risks rejecting entire batches due to minor errors in just a few gears. To address this limitation, our project focuses on developing an automated system capable of inspecting every individual gear in a batch. The system incorporates a conveyor belt for gear movement, a high-resolution camera for capturing images, and a backend database containing reference gear parameters. Each gear’s captured image is analyzed using computer vision techniques and compared to the stored parameters. If a match is found, the gear is sorted into the accepted lot; otherwise, it is rejected using an automated shooting mechanism. Precise measurement is critical in gear inspection, yet conventional methods are either too slow or costly. Moreover, no single method currently offers the capability to efficiently and accurately measure all gear parameters. Our proposed solution utilizes computer vision to establish a non-contact, rapid inspection system specifically for spur gears. The vision system is calibrated in metric units and validated by comparing measurements of sample gears to their known parameters. This approach yields higher accuracy for smaller gears with minimal deviation, enhancing overall efficiency and reliability. |
| Keywords: | Matlab, Arduino, Image Processing. |
| Cite Article: | "QUALITY CHECK ANALYSIS OF GEAR ERROR DETECTION", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.a595-a599, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506068.pdf |
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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 |
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Published Paper ID: IJRTI2506068
Registration ID:204669
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier):
Page No: a595-a599 Country: pune, MAHARASHTRA, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506068 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506068 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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