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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM19347

Vision Based Automatic Inspection for Identification of Holes on the Machined Parts

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM19347

Volume:

7 |

4 |

Apr 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DB

Divya B

KN

Kendra N

VKR

Varshini K R

DAM

Dr. A. Murugarajan

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Abstract

Efficiency, quality, and reliability are all dramatically increased by machine vision. The current system checks a sample of randomly chosen products made in huge quantities. This has a significant drawback and a high likelihood of manufacturing faulty goods as well. This study discusses a web-based algorithm for visual inspection that is economical and has several potential uses in real-world scenarios. The optimal algorithm for the vision inspection application is determined by comparing Faster R-CNN and Mask R-CNN in this case.

KEYWORDS

Faster R-CNN Mask R-CNN Vision Inspection Region of Interest Automatic Inspection.

Cite This Article

Divya B, Kendra N, Varshini K R, Dr. A. Murugarajan, "Vision Based Automatic Inspection for Identification of Holes on the Machined Parts," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, Apr 2023. https://doi.org/10.55041/IJSREM19347

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Publication Date

4/22/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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