PCB X-ray Raw Data Collection

PCB X-ray Raw Data Collection

Description The document titled "FICS PCB X-ray: A dataset for automated printed circuit board inter-layers inspection" outlines a significant advancement in the field of printed circuit board (PCB) inspection. It discusses the development of a comprehensive dataset, named "FICS PCB X-ray," which is designed to assist in the automated X-ray inspection (AXI) of PCBs. This dataset includes a diverse collection of tomographic images and raw X-ray data of PCBs, along with annotated X-ray layer images. The authors highlight the lack of publicly available datasets for PCB X-ray inspection and address this gap by offering the FICS PCB X-ray dataset for public use. This dataset is not only diverse but also includes challenging cases, making it a valuable resource for research and development in image processing, machine learning, and computer vision applied to PCB inspection. The paper also discusses the limitations of existing databases and proposes this new dataset as a solution to advance the field of automated PCB inspection.
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D. Mehta, J. True, O. P. Dizon-Paradis, N. Jessurun, D. L. Woodard, N. Asadizanjani, and M. Tehranipoor, “FICS PCB X-ray: A dataset for automated printed circuit board inter-layers inspection,” Cryptology ePrint Archive, 01-Jan-1970. [Online]. Available: https://eprint.iacr.org/2022/924. [Accessed: 05-Jan-2024]. @misc{cryptoeprint:2022/924, author = {Dhwani Mehta and John True and Olivia P. Dizon-Paradis and Nathan Jessurun and Damon L. Woodard and Navid Asadizanjani and Mark Tehranipoor}, title = {FICS PCB X-ray: A dataset for automated printed circuit board inter-layers inspection}, howpublished = {Cryptology ePrint Archive, Paper 2022/924}, year = {2022}, note = {\url{https://eprint.iacr.org/2022/924}}, url = {https://eprint.iacr.org/2022/924}