Next-generation Vision Inspection Systems: a pipeline from 3D model to ReCo file.
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| Title: | Next-generation Vision Inspection Systems: a pipeline from 3D model to ReCo file. |
|---|---|
| Authors: | Lupi, Francesco1 (AUTHOR) francesco.lupi@phd.unipi.it, Freitas, Nelson2 (AUTHOR) n.freitas@uninova.pt, Arvana, Miguel2 (AUTHOR) m.arvana@uninova.pt, Rocha, Andre Dionisio2 (AUTHOR) andre.rocha@uninova.pt, Maffei, Antonio3 (AUTHOR) maffei@kth.se, Barata, José1 (AUTHOR) jab@uninova.pt, Lanzetta, Michele4 (AUTHOR) lanzetta@unipi.it |
| Source: | Journal of Intelligent Manufacturing. Oct2025, Vol. 36 Issue 7, p4711-4734. 24p. |
| Subjects: | Computer-aided design software, Automation, Quality control, Engineering models, Three-dimensional modeling, Computer vision, Concurrent engineering |
| Abstract: | This paper proposes and implements a novel pipeline for the self-reconfiguration of a flexible, reconfigurable, CAD-based, and autonomous Vision Inspection System (VIS), expanding upon the modular framework theoretically outlined in (Lupi, F., Maffei, A., & Lanzetta, M. (2024). CAD-based Autonomous Vision Inspection Systems. Procedia Computer Science, 232, 2127–2136. https://doi.org/10.1016/J.PROCS.2024.02.033.). The pipeline automates the extraction and processing of inspection features manually incorporated by the designer into the Computer Aided Design (CAD) 3D model during the design stage, in accordance with Model Based Design (MBD) principles, which, in turn, facilitate virtuous approaches such as concurrent engineering and design for (Dfx), ultimately minimizing the time to market. The enriched CAD, containing inspection annotations (textual or dimensional) attached to geometrical entities, serving as the pipeline's input, can be exported in a neutral file format, adhering to the Standard for Product Data Exchange (STEP) Application Protocol (AP)242, regardless of the modeling software used. The pipeline's output is a Reconfiguration (ReCo) file, enabling the flexible hardware (e.g., robotic inspection cell) and software components of the VIS to be reconfigured via software (programmable). The main achievements of this work include: (i) demonstrating the feasibility of an end-to-end (i.e., CAD-to-ReCo file) pipeline that integrates the proposed software modules via Application Programming Interfaces (API)s, and (ii) formally defining the ReCo file. Experimental results from a demonstrative implementation enhance the clarity of the paper. The accuracy in defect detection achieved a 96% true positive rate and a 6% false positive rate, resulting in an overall accuracy of 94% and a precision of 88% across 72 quality inspection checks for six different inspection features of two product variants, each tested on six samples. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Intelligent Manufacturing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 188124906 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Next-generation Vision Inspection Systems: a pipeline from 3D model to ReCo file. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lupi%2C+Francesco%22">Lupi, Francesco</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> francesco.lupi@phd.unipi.it</i><br /><searchLink fieldCode="AR" term="%22Freitas%2C+Nelson%22">Freitas, Nelson</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> n.freitas@uninova.pt</i><br /><searchLink fieldCode="AR" term="%22Arvana%2C+Miguel%22">Arvana, Miguel</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> m.arvana@uninova.pt</i><br /><searchLink fieldCode="AR" term="%22Rocha%2C+Andre+Dionisio%22">Rocha, Andre Dionisio</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> andre.rocha@uninova.pt</i><br /><searchLink fieldCode="AR" term="%22Maffei%2C+Antonio%22">Maffei, Antonio</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> maffei@kth.se</i><br /><searchLink fieldCode="AR" term="%22Barata%2C+José%22">Barata, José</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jab@uninova.pt</i><br /><searchLink fieldCode="AR" term="%22Lanzetta%2C+Michele%22">Lanzetta, Michele</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> lanzetta@unipi.it</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+Manufacturing%22">Journal of Intelligent Manufacturing</searchLink>. Oct2025, Vol. 36 Issue 7, p4711-4734. 24p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computer-aided+design+software%22">Computer-aided design software</searchLink><br /><searchLink fieldCode="DE" term="%22Automation%22">Automation</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+control%22">Quality control</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering+models%22">Engineering models</searchLink><br /><searchLink fieldCode="DE" term="%22Three-dimensional+modeling%22">Three-dimensional modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+vision%22">Computer vision</searchLink><br /><searchLink fieldCode="DE" term="%22Concurrent+engineering%22">Concurrent engineering</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper proposes and implements a novel pipeline for the self-reconfiguration of a flexible, reconfigurable, CAD-based, and autonomous Vision Inspection System (VIS), expanding upon the modular framework theoretically outlined in (Lupi, F., Maffei, A., & Lanzetta, M. (2024). CAD-based Autonomous Vision Inspection Systems. Procedia Computer Science, 232, 2127–2136. https://doi.org/10.1016/J.PROCS.2024.02.033.). The pipeline automates the extraction and processing of inspection features manually incorporated by the designer into the Computer Aided Design (CAD) 3D model during the design stage, in accordance with Model Based Design (MBD) principles, which, in turn, facilitate virtuous approaches such as concurrent engineering and design for (Dfx), ultimately minimizing the time to market. The enriched CAD, containing inspection annotations (textual or dimensional) attached to geometrical entities, serving as the pipeline's input, can be exported in a neutral file format, adhering to the Standard for Product Data Exchange (STEP) Application Protocol (AP)242, regardless of the modeling software used. The pipeline's output is a Reconfiguration (ReCo) file, enabling the flexible hardware (e.g., robotic inspection cell) and software components of the VIS to be reconfigured via software (programmable). The main achievements of this work include: (i) demonstrating the feasibility of an end-to-end (i.e., CAD-to-ReCo file) pipeline that integrates the proposed software modules via Application Programming Interfaces (API)s, and (ii) formally defining the ReCo file. Experimental results from a demonstrative implementation enhance the clarity of the paper. The accuracy in defect detection achieved a 96% true positive rate and a 6% false positive rate, resulting in an overall accuracy of 94% and a precision of 88% across 72 quality inspection checks for six different inspection features of two product variants, each tested on six samples. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Intelligent Manufacturing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=188124906 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10845-024-02456-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 4711 Subjects: – SubjectFull: Computer-aided design software Type: general – SubjectFull: Automation Type: general – SubjectFull: Quality control Type: general – SubjectFull: Engineering models Type: general – SubjectFull: Three-dimensional modeling Type: general – SubjectFull: Computer vision Type: general – SubjectFull: Concurrent engineering Type: general Titles: – TitleFull: Next-generation Vision Inspection Systems: a pipeline from 3D model to ReCo file. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lupi, Francesco – PersonEntity: Name: NameFull: Freitas, Nelson – PersonEntity: Name: NameFull: Arvana, Miguel – PersonEntity: Name: NameFull: Rocha, Andre Dionisio – PersonEntity: Name: NameFull: Maffei, Antonio – PersonEntity: Name: NameFull: Barata, José – PersonEntity: Name: NameFull: Lanzetta, Michele IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09565515 Numbering: – Type: volume Value: 36 – Type: issue Value: 7 Titles: – TitleFull: Journal of Intelligent Manufacturing Type: main |
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