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Intelligent foreign particle inspection machine for injection liquid examination based on modified pulse-coupled neural networks.

Ge J, Wang Y, Zhou B, Zhang H - Sensors (Basel) (2009)

Bottom Line: Proper mechanisms and improved spin/stop techniques are proposed to avoid the appearance of air bubbles, which increases the algorithms' complexity.Modified PCNN is adopted to segment the difference images, judging the existence of foreign particles according to the continuity and smoothness properties of their moving traces.Preliminarily experimental results indicate that the inspection machine can detect the visible foreign particles effectively and the detection speed, accuracy and correct detection rate also satisfying the needs of medicine preparation.

View Article: PubMed Central - PubMed

Affiliation: College of Electrical and Information Engineering, Hunan University, China; E-Mail: yaonan@hnu.cn (Y-N.W.).

ABSTRACT
A biologically inspired spiking neural network model, called pulse-coupled neural networks (PCNN), has been applied in an automatic inspection machine to detect visible foreign particles intermingled in glucose or sodium chloride injection liquids. Proper mechanisms and improved spin/stop techniques are proposed to avoid the appearance of air bubbles, which increases the algorithms' complexity. Modified PCNN is adopted to segment the difference images, judging the existence of foreign particles according to the continuity and smoothness properties of their moving traces. Preliminarily experimental results indicate that the inspection machine can detect the visible foreign particles effectively and the detection speed, accuracy and correct detection rate also satisfying the needs of medicine preparation.

No MeSH data available.


Improved spin/stop technique of the servo system.
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f7-sensors-09-03386: Improved spin/stop technique of the servo system.

Mentions: To reduce the occurrence probability of air bubbles, an improved spin/stop technique of the rotating tray is demonstrated with reference to Figure 7, in which the abscissa represents the time (t), and the ordinate represents the spin speed (w).


Intelligent foreign particle inspection machine for injection liquid examination based on modified pulse-coupled neural networks.

Ge J, Wang Y, Zhou B, Zhang H - Sensors (Basel) (2009)

Improved spin/stop technique of the servo system.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3297148&req=5

f7-sensors-09-03386: Improved spin/stop technique of the servo system.
Mentions: To reduce the occurrence probability of air bubbles, an improved spin/stop technique of the rotating tray is demonstrated with reference to Figure 7, in which the abscissa represents the time (t), and the ordinate represents the spin speed (w).

Bottom Line: Proper mechanisms and improved spin/stop techniques are proposed to avoid the appearance of air bubbles, which increases the algorithms' complexity.Modified PCNN is adopted to segment the difference images, judging the existence of foreign particles according to the continuity and smoothness properties of their moving traces.Preliminarily experimental results indicate that the inspection machine can detect the visible foreign particles effectively and the detection speed, accuracy and correct detection rate also satisfying the needs of medicine preparation.

View Article: PubMed Central - PubMed

Affiliation: College of Electrical and Information Engineering, Hunan University, China; E-Mail: yaonan@hnu.cn (Y-N.W.).

ABSTRACT
A biologically inspired spiking neural network model, called pulse-coupled neural networks (PCNN), has been applied in an automatic inspection machine to detect visible foreign particles intermingled in glucose or sodium chloride injection liquids. Proper mechanisms and improved spin/stop techniques are proposed to avoid the appearance of air bubbles, which increases the algorithms' complexity. Modified PCNN is adopted to segment the difference images, judging the existence of foreign particles according to the continuity and smoothness properties of their moving traces. Preliminarily experimental results indicate that the inspection machine can detect the visible foreign particles effectively and the detection speed, accuracy and correct detection rate also satisfying the needs of medicine preparation.

No MeSH data available.