An automated optical inspection (AOI) platform for three-dimensional (3D) defects detection on glass micro-optical components (GMOC)

Du, Yinchao; Chen, Jiangpeng; Zhou, Han; Yang, Xiaoling; Wang, Zhongqi; Zhang, Jie; Shi, Yuechun; Chen, Xiangfei; Zheng, Xuezhe

doi:10.1016/j.optcom.2023.129736

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Cited by 5 publications

References 29 publications

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ReProInspect: Framework for Reproducible Defect Datasets for Improved AOI of PCBAs

Rezaei,

Nau,

Streitferdt

et al. 2023

Lecture Notes in Computer Science

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ReProInspect: Framework for Reproducible Defect Datasets for Improved AOI of PCBAs

Rezaei,

Nau,

Streitferdt

et al. 2023

Lecture Notes in Computer Science

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A Comparative Study of Transfer Learning on CNN-Based Models for Fault and Anomaly Detection in Industrial Processes

Salsano,

Menanno,

Bernardi

2024

Advances and Trends in Artificial Intelligence. Theory and Applications

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Vehicular Mini-LED backlight display inspection based on residual global context mechanism

Zhao,

Zheng,

Huang

et al. 2024

Front. Optoelectron.

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Mini-LED backlight has emerged as a promising technology for high performance LCDs, yet the massive detection of dead pixels and precise LEDs placement are constrained by the miniature scale of the Mini-LEDs. The high-resolution network (Hrnet) with mixed dilated convolution and dense upsampling convolution (MDC-DUC) module and a residual global context attention (RGCA) module has been proposed to detect the quality of vehicular Mini-LED backlights. The proposed model outperforms the baseline networks of Unet, Pspnet, Deeplabv3+, and Hrnet, with a mean intersection over union (Miou) of 86.91%. Furthermore, compared to the four baseline detection networks, our proposed model has a lower root-mean-square error (RMSE) when analyzing the position and defective count of Mini-LEDs in the prediction map by canny algorithm. This work incorporates deep learning to support production lines improve quality of Mini-LED backlights. Graphical abstract

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An automated optical inspection (AOI) platform for three-dimensional (3D) defects detection on glass micro-optical components (GMOC)

Cited by 5 publications

References 29 publications

ReProInspect: Framework for Reproducible Defect Datasets for Improved AOI of PCBAs

ReProInspect: Framework for Reproducible Defect Datasets for Improved AOI of PCBAs

A Comparative Study of Transfer Learning on CNN-Based Models for Fault and Anomaly Detection in Industrial Processes

Vehicular Mini-LED backlight display inspection based on residual global context mechanism

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