Please use this identifier to cite or link to this item: http://dspace.ensta.edu.dz/jspui/handle/123456789/300
Title: State of the art on methods for automatic detected of defects on PCBs
Authors: AOUIR, Khalil
CHOUAF, Seloua (Directeur de thèse)
Keywords: Printed circuit boards (PCBs)
Artificial Intelligence (AI)
Visual inspection systems(VIS)
Issue Date: 2024
Publisher: ENSTA
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.
Description: Mémoire de fin d’étude du Master: Systèmes Embarqués:Alger: Ecole Nationale Supérieure des Technologie Avancées(ex ENST): 2024
URI: http://dspace.ensta.edu.dz/jspui/handle/123456789/300
Appears in Collections:ART- Systèmes Embarqués

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