Deep learning object detection applied to defect recognition of memory modules

Author:

Huang Jung-Tang,Ting Chien-Hung

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Reference33 articles.

1. Hosang J, Benenson R, Dollár P, Schiele B (2015) What makes for effective detection proposals? https://arxiv.org/abs/1502.05082

2. Anoop KP, Sarath NS, Kumar VS (2015) A review of PCB defect detection using image processing. https://www.ijeit.com/Vol%204/Issue%2011/IJEIT1412201505_31.pdf

3. Lu H, Mehta D, Paradis O, Asadizanjani N, Tehranipoor M, Woodard DL (2020) FICS-PCB: a multi-modal image dataset for automated printed circuit board visual inspection. https://www.researchgate.net/publication/344475848_FICS-PCB_A_Multi-Modal_Image_Dataset_for_Automated_Printed_Circuit_Board_Visual_Inspection

4. Lian J, Wang L, Liu T, Ding X, Yu Z (2021) Automatic visual inspection for printed circuit board via novel Mask R-CNN in smart city applications. https://www.sciencedirect.com/science/article/abs/pii/S2213138821000424

5. Xin H, Chen Z, Wang B (2021) PCB electronic component defect detection method based on improved YOLOv4 algorithm. https://iopscience.iop.org/article/10.1088/1742-6596/1827/1/012167/pdf

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