The PCB Surface Defect Detection System Based on GPU Acceleration

Yu Liu; Si Zhe Li

doi:10.4028/www.scientific.net/AMM.713-715.347

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715The PCB Surface Defect Detection System Based on...

The PCB Surface Defect Detection System Based on GPU Acceleration

Abstract:

Defective products are unavoidable in printed circuit board production process, so rapid detection and identificationmethods are badly in need of. PCB surface defect detection including a series of processing such as surface imagecapture, mixed noise filtering,images registering and so on, so it takes a lot of CPU time. To improve detection speed, based on GPU parallel computing platform, we designed a reasonable parallel processing system for PCB defect detectionto meet the need of real-time requirements of a production line. Experimental results show that parallel image processing algorithms based on GPU can achieve good results compared to the CPU-based serial algorithm (with speed up ratio up to8.34 in this paper),providing a new approachfor rapid detection of PCB surface defect.

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Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

347-352

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.347

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Online since:

January 2015

Authors:

Yu Liu*, Si Zhe Li

Keywords:

Defect Detection, GPU, Parallel, PCB

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* - Corresponding Author

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