[HTML][HTML] Optimizing Automated Optical Inspection: An Adaptive Fusion and Semi-Supervised Self-Learning Approach for Elevated Accuracy and Efficiency in …
In the field of automatic optical inspection (AOI), this study presents innovative strategies to
enhance object detection accuracy while minimizing dependence on large annotated …
enhance object detection accuracy while minimizing dependence on large annotated …
Detection and Classification of Defects on Printed Circuit Board Assembly through Deep Learning
N Petkov, M Ivanova - 2024 9th International Conference on …, 2024 - ieeexplore.ieee.org
Contemporary production of electronic devices and modules requires the final product to be
of high quality and at the lowest possible price. To ensure this, the production process …
of high quality and at the lowest possible price. To ensure this, the production process …
PCB-DETR: A Detection Network of PCB surface Defect With Spatial Attention Offset Module
Q Li, L Wu, H Xiao, C Huang - IEEE Access, 2024 - ieeexplore.ieee.org
The paper proposes PCB-DETR, a novel detection network for PCB surface defect
identification, which enhances the performance of small defect detection through …
identification, which enhances the performance of small defect detection through …
MuSAP-GAN: printed circuit board defect detection using multi-level attention-based printed circuit board with generative adversarial network
N Patel - Electrical Engineering, 2024 - Springer
A printed circuit board (PCB) is one of the important components in every single electronic
device, which assists in connecting each component for many purposes. Somehow, the PCB …
device, which assists in connecting each component for many purposes. Somehow, the PCB …
AI-assisted Design for Reliability: Review and Perspectives
C Yuan, SDM de Jong… - 2024 25th International …, 2024 - ieeexplore.ieee.org
The demand for rapid advancement in AI, mobile and automotive markets is pushing the
boundaries of electronic packaging, including heterogeneous integration, high-power …
boundaries of electronic packaging, including heterogeneous integration, high-power …
Improving Printed Circuit Board Defect Detection with CNNs and SVMs
V Yadav, D Banerjee, D Upadhyay… - 2024 Asia Pacific …, 2024 - ieeexplore.ieee.org
The abstract provides a summary of the performance analysis of a classification model
intended to detect printed circuit board (PCB) faults. The precision, recall, or F1-score …
intended to detect printed circuit board (PCB) faults. The precision, recall, or F1-score …
Realising Quality Control of Metal Products Used in Industry Through Deep Learning
B Özyer, YS Taspinar - Intelligent Methods In Engineering Sciences, 2024 - imiens.org
This study was carried out with the aim of detecting the defects on the surfaces of metallic
products, which are frequently encountered in our daily lives and widely used in industry …
products, which are frequently encountered in our daily lives and widely used in industry …