Research on Intelligent Inspection Machine Based on Linear CCD

Jia Fang Zhang; Zong Qing Lu; Zhao Wang; Qing Ke Yuan; Guang Kai Wang

doi:10.4028/www.scientific.net/AMR.524-527.3819

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Comparison Theorem for any Solutions of Backward Stochastic Differential Equations and its Application
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Comparisons of Cloud Computing Models and Technologies
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Fuzzy Synchronization of Chaotic Systems Based on Genetic Algorithm
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Information Technology-Based Smart Energy System
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Research on Intelligent Inspection Machine Based on Linear CCD
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An Interpolation FFT Algorithm with High Accuracy
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 524-527Research on Intelligent Inspection Machine Based...

Research on Intelligent Inspection Machine Based on Linear CCD

Abstract:

This paper introduces new equipment for injection liquid inspection. The Intelligent Inspection Machine is based on linear CCD. The inspection platform, holding device and rotating and abruptly stopping station of this equipment are introduced, and the operating principle is illustrated. Image preprocessing is demonstrated in details, including filtering, segmentation and the calculated of particles. The experiments demonstrated that the intelligent inspection machine for injection liquid inspection based on linear CCD is feasible.

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Periodical:

Advanced Materials Research (Volumes 524-527)

Pages:

3819-3823

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.524-527.3819

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Online since:

May 2012

Authors:

Jia Fang Zhang, Zong Qing Lu, Zhao Wang, Qing Ke Yuan, Guang Kai Wang

Keywords:

Bilateral Filtering, Injection Liquid Inspection, Intelligent Inspection Machine, Linear CCD, Particle

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References

[1] J. Zhao, X. L. Fang, L. Meng:Mod.Prev.Med.2005,32,12-13.

Google Scholar

[2] In Chinese Pharmacopoeia,5th Edition, edited by Pharmacopoeia Commission of the Ministry of Public Health of PRC. Ed, Chemical Industry,Beijing,China,2005,in press.

Google Scholar

[3] Ni, J. Production status of mass transfusion and Exploration of developing tragedy in China: Chin. pharm, 2004, 13, 28-29.

Google Scholar

[4] Fugang Yang, Tongjing Sun and Songlin Song: submitted to Journal of Chinese Journal of Scientific Instrument(2008)(in Chinese).

Google Scholar

[5] Ji Ge, Yaonan Wang, Bowen Zhou and Hui Zhang: submitted to Journal of Sensors(2009).

Google Scholar

[6] Akira Ishii, Takayuki Mizuta and Shigehiko Todo: Pattern Recognition. Forum Vol.2,1646-1650,1998.

Google Scholar

[7] Bowen Zhou, Yaonan Wang, JiGe and Hui Zhang: Computational Intelligence and Industrial Application. Workshop Vol.2,511-516,2008.

Google Scholar

[8] Jiuqiang Han, in: Machine Vision Technology and Application, edited by Higher Education Publications. Beijing, China,2009, in press(in Chinese).

Google Scholar

[9] Louer RC, Russoman JA, Rasanen PR: submitted to Journal of Bull Parenteral Drug Assoc. 1971, 25, 54-64.

Google Scholar

[10] Nagamatsu, K; Tomita, A. Research on the Automatic Inspection Machine of Ampoules. J. Takeda Res. Lab. 1974, 33, 43-54.

Google Scholar

[11] C. Tomasi, R. Macduchi: Computer Vision, Forum 839-846, 1998.

Google Scholar