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DC Field | Value | Language |
---|---|---|
dc.contributor.author | AOUIR, Khalil | - |
dc.contributor.author | CHOUAF, Seloua (Directeur de thèse) | - |
dc.date.accessioned | 2025-03-11T08:25:00Z | - |
dc.date.available | 2025-03-11T08:25:00Z | - |
dc.date.issued | 2024 | - |
dc.identifier.uri | http://dspace.ensta.edu.dz/jspui/handle/123456789/300 | - |
dc.description | Mémoire de fin d’étude du Master: Systèmes Embarqués:Alger: Ecole Nationale Supérieure des Technologie Avancées(ex ENST): 2024 | en_US |
dc.description.abstract | Visual 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.iso | en | en_US |
dc.publisher | ENSTA | en_US |
dc.subject | Printed circuit boards (PCBs) | en_US |
dc.subject | Artificial Intelligence (AI) | en_US |
dc.subject | Visual inspection systems(VIS) | en_US |
dc.title | State of the art on methods for automatic detected of defects on PCBs | en_US |
dc.type | Article | en_US |
Appears in Collections: | ART- Systèmes Embarqués |
Files in This Item:
File | Description | Size | Format | |
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AOUIR Khalil_MFE_Mme.CHOUAF_2023-2024 - CHOUAF Seloua.pdf | Mémoire du Master | 1.74 MB | Adobe PDF | View/Open |
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