Automatic inspection system of adhesive on vehicle windshield using computational vision

Página do item simplificado
dc.contributor.authorTudeschini, Rodrigo Barbosa
dc.contributor.authorde Souza Soares, Álvaro Manoel [UNESP]
dc.contributor.institutionUniversity of Taubaté
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2023-07-29T13:40:30Z
dc.date.available2023-07-29T13:40:30Z
dc.date.issued2023-02-01
dc.description.abstractPolyurethane-based adhesives are applied on the windshields of vehicles in the automotive industry to fix the windshield and seal the cabin. A failure in the adhesive bead could allow water to ingress between the windshield and the vehicle body. If not detected in the leak test, it can lead to high cost due to warranty repairs, inconvenience to customers and damage to the brand. Commercial solutions are available in the market to detect an interruption in the adhesive bead right after its application on the windshield, before it is fitted to the vehicle, but at high cost. This paper proposes an automatic inspection system based on computer vision, low-cost hardware, programming in Python language and making use of open-source libraries. A batch of defect-free windshields was inspected using the proposed inspection system. In the impossibility of obtaining defective parts for validation, windshield images were modified to simulate defects and the images were evaluated by the developed algorithm. The algorithm showed quite good results at the end, and we could establish the system's effectiveness at 100% for defect detection capability and 21% of false detections.en
dc.description.affiliationDepartment of Mechanical Engineering University of Taubaté, Rua Daniel Danelli, sn – Jardim Morumbi – Taubaté
dc.description.affiliationDepartment of Mechanical Engineering São Paulo State University (Unesp), Guaratinguetá
dc.description.affiliationUnespDepartment of Mechanical Engineering São Paulo State University (Unesp), Guaratinguetá
dc.identifierhttp://dx.doi.org/10.1007/s40430-023-04051-x
dc.identifier.citationJournal of the Brazilian Society of Mechanical Sciences and Engineering, v. 45, n. 2, 2023.
dc.identifier.doi10.1007/s40430-023-04051-x
dc.identifier.issn1806-3691
dc.identifier.issn1678-5878
dc.identifier.scopus2-s2.0-85147507584
dc.identifier.urihttp://hdl.handle.net/11449/248314
dc.language.isoeng
dc.relation.ispartofJournal of the Brazilian Society of Mechanical Sciences and Engineering
dc.sourceScopus
dc.subjectAutomatic bead inspection
dc.subjectComputer vision
dc.subjectLow-cost hardware
dc.subjectOpen-source software
dc.titleAutomatic inspection system of adhesive on vehicle windshield using computational visionen
dc.typeArtigo
unesp.author.orcid0000-0003-2742-7488[2]
unesp.departmentEngenharia Mecânica - FEGpt

Arquivos

Coleções

Guaratinguetá - FEG - Faculdade de Engenharia e Ciências