Machine Vision in an Automated Component¿Handling System

Research on Robot Dynamic Handling System Based on Machine Vision and Online Tracking Technology

Journal of Physics Conference Series ◽

10.1088/1742-6596/1544/1/012011 ◽

2020 ◽

Vol 1544 ◽

pp. 012011

Author(s):

Zhicheng Liu ◽

Shaoshun Bian ◽

Bin Zhang ◽

Zongxue Lu ◽

Pengzhong Zhou ◽

...

Keyword(s):

Machine Vision ◽

Handling System ◽

Online Tracking ◽

Tracking Technology

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Injection and fluid handling system for machine-vision controlled spraying

10.13031/2013.7349 ◽

2001 ◽

Author(s):

Kevin P. Gillis ◽

D. Ken Giles ◽

David C. Slaughter ◽

D. Downey

Keyword(s):

Machine Vision ◽

Handling System ◽

Fluid Handling

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Machine Vision

10.1017/cbo9781139168229 ◽

2009 ◽

Cited By ~ 15

Author(s):

Wesley E. Snyder ◽

Hairong Qi

Keyword(s):

Machine Vision

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Characterization of Influence of Manure Handling System and Feeding on the Level of Ammonia Release Using a Simple Method in Cow Houses

CrossRef Listing of Deleted DOIs ◽

10.1080/09064700252927692 ◽

2002 ◽

Vol 52 (2) ◽

pp. 49-56 ◽

Cited By ~ 1

Author(s):

Christian Swensson ◽

Gösta Gustafsson

Keyword(s):

Simple Method ◽

Handling System ◽

Ammonia Release

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Handling system—the heart of FMS

Production Engineer ◽

10.1049/tpe.1983.0042 ◽

1983 ◽

Vol 62 (2) ◽

pp. 40

Keyword(s):

Handling System

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Classroom Lighting Energy-Saving Control System Based on Machine Vision Technology

Light & Engineering ◽

10.33383/2018-135 ◽

2018 ◽

pp. 143-149 ◽

Cited By ~ 1

Author(s):

Ruijie CHENG

Keyword(s):

Control System ◽

Machine Vision ◽

Energy Saving ◽

Back Propagation ◽

Back Propagation Neural Network ◽

Lighting Control ◽

Lighting Energy ◽

Neural Network Algorithm ◽

Energy Saving Control ◽

Model Algorithm

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multifeedback model for energysaving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.

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