A machine vision based defect detection method for coated carbide CNC inserts and its industrial automation implementation analysis.

Hu J, Chen S, Yin S, Qiu S

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DOI: 10.1038/s41598-026-52293-1
Published: 2026 May 11
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-52293-1,
  title = {A machine vision based defect detection method for coated carbide CNC inserts and its industrial automation implementation analysis.},
  author = {Hu J and Chen S and Yin S and Qiu S},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-52293-1},
  url = {https://doi.org/10.1038/s41598-026-52293-1}
}

RIS

TY  - JOUR
TI  - A machine vision based defect detection method for coated carbide CNC inserts and its industrial automation implementation analysis.
AU  - Hu J
AU  - Chen S
AU  - Yin S
AU  - Qiu S
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-52293-1
UR  - https://doi.org/10.1038/s41598-026-52293-1
ER  -

APA

J, H., S, C., S, Y., & S, Q. (2026). A machine vision based defect detection method for coated carbide CNC inserts and its industrial automation implementation analysis.. Scientific reports. https://doi.org/10.1038/s41598-026-52293-1

Source records

pubmed · retrieved 2026-09-25T20:06:43.390Z
europe-pmc · retrieved 2026-09-25T20:06:43.394Z
doaj · retrieved 2026-09-25T20:06:43.391Z