Application of Machine Vision Based on DM642 of Embedded System

Zhen Yu Liu; He Wen Xu

doi:10.4028/www.scientific.net/AMM.701-702.428

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 701-702Application of Machine Vision Based on DM642 of...

Application of Machine Vision Based on DM642 of Embedded System

Abstract:

This article takes the industrial robot workpiece sorting issue as a background, introduces an embedded machine vision system based on DM642. The system realizes the image preprocessing, feature extraction, image recognition and other work in DSP, and transmits detection results to robot controller through network interface. Experimental results show that the system can effectively solve the problem of sorting regular geometric workpiece, and can meet the requirements of real-time and accuracy in industrial applications.

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Periodical:

Applied Mechanics and Materials (Volumes 701-702)

Pages:

428-432

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.701-702.428

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Online since:

December 2014

Authors:

Zhen Yu Liu, He Wen Xu*

Keywords:

Digital Image Processing, DM642, Embedded System, Machine Vision

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* - Corresponding Author

References

[1] Minglu Li, Minyou Wu, Ying Li, et al. ShanghaiGrid: An Information Services Grid[J]. Concurrency and Computation: Practice and Experience, 2006, 18(1): 11-135.

Google Scholar

[2] Allan M，Williams C K I. Object localisation using the generative template of features[J]. Computer Vision and Image Understanding, 2009, 113（7）：824-838.

DOI: 10.1016/j.cviu.2009.02.002

Google Scholar

[3] Ying Wen, Yue Lu, Jingqi Yan, et al．An Algorithm for License Plate Recognition Applied to Intelligent Transportation System[J]. IEEE Intelligent Transportation Systems Society，2011, 13(3): 830-845.

DOI: 10.1109/tits.2011.2114346

Google Scholar

[4] Junchao Zhu, Jie Zhou, Baofeng Zhang．Research on moving human and vehicle's recognition algorithm [C]．Qinhuangdao: ICCDA，(2010).

DOI: 10.1109/iccda.2010.5540698

Google Scholar

[5] Dagao Duan, Meng Xie, Qian Mo, etal. An improved Hough transform for line detection[C]. Computer Application and System Modeling，2010：354-357.

DOI: 10.1109/iccasm.2010.5620827

Google Scholar

[6] Shriram K. Vasudevan, Dharmendra T, Sivaraman RKarthick S. Automotive Image Processing Technique Using Canny's Edge Detector [J]．International Journal of Engineering Science and Technology，2011, 2(7): 2632-2643.

Google Scholar

[7] Noor A, Manivanan N, Balachandran W．Transformation invariant algorithm for automatic fingerprint recognition [J]．Institution of Engineering and Technology，2012, 48(14): 834-835.

DOI: 10.1049/el.2012.0695

Google Scholar