GE PAC and Image Processing Based on the Corn Automatically Grading System Design

Jin Gang Gao; Hua Wang; Shuang Zhang; Shan Gang Wang; Lei Yu

doi:10.4028/www.scientific.net/AMM.121-126.3940

Paper Titles

Experimental Investigation on Cavitation Noise of Water Jet and its Chaotic Behaviour
p.3919

Fault Prediction and Health Management for Mechanical Equipment Groups Based on the Internet of Things
p.3925

Effects of Temperature and Humidity on the Optical Property of Aluminum Film
p.3930

Freeze Drying Technology Forming Drug Release Bionic Scaffolds with Gradient Structure
p.3935

GE PAC and Image Processing Based on the Corn Automatically Grading System Design
p.3940

Using the Simplified 3D DIC Method to Measure the Deformation of 3D Surface
p.3945

Global Optimization Method Based on Incremental Radial Basis Functions
p.3950

Grey Forecasting Model for Patching Blinking in Video-Oculography
p.3955

Ice Detection Based on Near Infrared Image Analysis
p.3960

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 121-126GE PAC and Image Processing Based on the Corn...

GE PAC and Image Processing Based on the Corn Automatically Grading System Design

Abstract:

The current corn classification is mainly handicraft. This method is low efficiency, labor intensive, and has failed to meet the requirements of production. This system unifies PAC and machine vision, designed a corn grading system. The whole system has configuration monitored and controlled by using machine PAC visual technology and Device Net field bus technology, the system has a safe and reliable operation, classicists accurately and rapidly. This system can significantly improve the efficiency and frozen corn sorted product quality, sort and speed over40 per minute, sorting accuracy can reach more than 99 percents. Demonstrates PAC technology in sorting system unique flexibility and expansibility, better realize the controlled object of automation control, has wide application prospects.

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Periodical:

Applied Mechanics and Materials (Volumes 121-126)

Pages:

3940-3944

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.121-126.3940

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Online since:

October 2011

Authors:

Jin Gang Gao, Hua Wang, Shuang Zhang, Shan Gang Wang, Lei Yu

Keywords:

Classification Device, Fieldbus, PAC, Visual Inspection

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References

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