Quality Assurance with Visual Inspection in Sheet Metal Forming Process for Automotive Industry
(2026) 18th International Conference on Machine Vision, ICMV 2025 In Proceedings of SPIE - The International Society for Optical Engineering 14114.- Abstract
The sheet metal forming process is integral to the automotive industry, producing a variety of components essential for vehicle construction, including body panels, chassis parts, and structural supports. The process involves shaping thin metal sheets into desired forms using techniques such as bending, stretching, drawing, and stamping. In order to build high quality cars it is vital with an efficient quality assurance process. Vision systems together with AI analysis are a tool which is used to enable in-line quality control of, among others, shape of the parts. In this study, the shape of a collared hole was analysed with ordinary surveillance cameras together with an algoritm to analyse if the shape of the collared hole was correct.... (More)
The sheet metal forming process is integral to the automotive industry, producing a variety of components essential for vehicle construction, including body panels, chassis parts, and structural supports. The process involves shaping thin metal sheets into desired forms using techniques such as bending, stretching, drawing, and stamping. In order to build high quality cars it is vital with an efficient quality assurance process. Vision systems together with AI analysis are a tool which is used to enable in-line quality control of, among others, shape of the parts. In this study, the shape of a collared hole was analysed with ordinary surveillance cameras together with an algoritm to analyse if the shape of the collared hole was correct. This was done in an integrated industrial solution under running production. The results showed that the system was able to detect defined errors in the shape of the collar, both for fabricated errors (used for definition of faults) as well as detection of faults in ordinary production.
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- author
- Andersson, Alf LU ; Söderström, Ulrik and Malhotra, Aman
- organization
- publishing date
- 2026-02
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- AI, Automotive industry, In-line verification, Quality, Sheet metal forming, Vision system
- host publication
- Eighteenth International Conference on Machine Vision, ICMV 2025
- series title
- Proceedings of SPIE - The International Society for Optical Engineering
- editor
- Osten, Wolfgang
- volume
- 14114
- article number
- 1411423
- publisher
- SPIE
- conference name
- 18th International Conference on Machine Vision, ICMV 2025
- conference location
- Paris, France
- conference dates
- 2025-10-19 - 2025-10-22
- external identifiers
-
- scopus:105032956549
- ISSN
- 1996-756X
- 0277-786X
- ISBN
- 9798902321873
- DOI
- 10.1117/12.3098104
- language
- English
- LU publication?
- yes
- id
- a82a4822-f06b-4158-9a4b-d897b4a52c4c
- date added to LUP
- 2026-04-22 12:15:47
- date last changed
- 2026-07-02 23:09:26
@inproceedings{a82a4822-f06b-4158-9a4b-d897b4a52c4c,
abstract = {{<p>The sheet metal forming process is integral to the automotive industry, producing a variety of components essential for vehicle construction, including body panels, chassis parts, and structural supports. The process involves shaping thin metal sheets into desired forms using techniques such as bending, stretching, drawing, and stamping. In order to build high quality cars it is vital with an efficient quality assurance process. Vision systems together with AI analysis are a tool which is used to enable in-line quality control of, among others, shape of the parts. In this study, the shape of a collared hole was analysed with ordinary surveillance cameras together with an algoritm to analyse if the shape of the collared hole was correct. This was done in an integrated industrial solution under running production. The results showed that the system was able to detect defined errors in the shape of the collar, both for fabricated errors (used for definition of faults) as well as detection of faults in ordinary production.</p>}},
author = {{Andersson, Alf and Söderström, Ulrik and Malhotra, Aman}},
booktitle = {{Eighteenth International Conference on Machine Vision, ICMV 2025}},
editor = {{Osten, Wolfgang}},
isbn = {{9798902321873}},
issn = {{1996-756X}},
keywords = {{AI; Automotive industry; In-line verification; Quality; Sheet metal forming; Vision system}},
language = {{eng}},
publisher = {{SPIE}},
series = {{Proceedings of SPIE - The International Society for Optical Engineering}},
title = {{Quality Assurance with Visual Inspection in Sheet Metal Forming Process for Automotive Industry}},
url = {{http://dx.doi.org/10.1117/12.3098104}},
doi = {{10.1117/12.3098104}},
volume = {{14114}},
year = {{2026}},
}