Please use this identifier to cite or link to this item: http://dspace.ensta.edu.dz/jspui/handle/123456789/300
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dc.contributor.authorAOUIR, Khalil-
dc.contributor.authorCHOUAF, Seloua (Directeur de thèse)-
dc.date.accessioned2025-03-11T08:25:00Z-
dc.date.available2025-03-11T08:25:00Z-
dc.date.issued2024-
dc.identifier.urihttp://dspace.ensta.edu.dz/jspui/handle/123456789/300-
dc.descriptionMémoire de fin d’étude du Master: Systèmes Embarqués:Alger: Ecole Nationale Supérieure des Technologie Avancées(ex ENST): 2024en_US
dc.description.abstractVisual inspection systems(VIS) are essential for ensuring the quality and the reliability of products in many fields including the electronic manufacturing industry. This article focuses particularly on reviewing the advancements of printed circuit boards (PCBs) visual inspection technology, emphasizing three key aspects: the contribution of the innovative imaging types, the capability of the advanced image processing techniques, and the re- cent need of integrating artificial intelligence (AI) models. The paper also explores industrial applications, mentioning the current challenges and future research directions.en_US
dc.language.isoenen_US
dc.publisherENSTAen_US
dc.subjectPrinted circuit boards (PCBs)en_US
dc.subjectArtificial Intelligence (AI)en_US
dc.subjectVisual inspection systems(VIS)en_US
dc.titleState of the art on methods for automatic detected of defects on PCBsen_US
dc.typeArticleen_US
Appears in Collections:ART- Systèmes Embarqués

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