A Method for Detecting Breaking Rate of Ganoderma Lucidum Spore Powder Based on Machine Vision

Author(s):  
Shanling Ji ◽  
Zhisheng Zhang ◽  
Zhijie Xia ◽  
Ying Zhu
Author(s):  
Wesley E. Snyder ◽  
Hairong Qi
Keyword(s):  

2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG

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.


1997 ◽  
Vol 117 (10) ◽  
pp. 1339-1344
Author(s):  
Katsuhiko Sakaue ◽  
Hiroyasu Koshimizu
Keyword(s):  

2005 ◽  
Vol 125 (11) ◽  
pp. 692-695
Author(s):  
Kazunori UMEDA ◽  
Yoshimitsu AOKI
Keyword(s):  

2005 ◽  
Vol 7 (1-2) ◽  
pp. 263-280 ◽  
Author(s):  
Siu Wai Chiu ◽  
Vivien Wing Yan Luk ◽  
Stephen Yu ◽  
Peggy Lee ◽  
Natalie Wai ◽  
...  

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