Ye Lihua, Wang Wenxuan, Lv Congsheng, Wang Haiyang, Cui Yiping, Hang Jianjun. Design and improvement of laser sorting system[J]. Infrared and Laser Engineering, 2014, 43(9): 2878-2882.
Citation:
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Ye Lihua, Wang Wenxuan, Lv Congsheng, Wang Haiyang, Cui Yiping, Hang Jianjun. Design and improvement of laser sorting system[J]. Infrared and Laser Engineering, 2014, 43(9): 2878-2882.
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Design and improvement of laser sorting system
- 1.
Advanced Photonics Center,School of Electronic Science and Engineering,Southeast University,Nanjing 210096,China
- Received Date: 2014-01-05
- Rev Recd Date:
2014-02-07
- Publish Date:
2014-09-25
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Abstract
Camera sorters are used both for food and non-food applications like french fries, shrimps, vegetables, snacks, raw cotton, plastics, etc. But invisible foreign bodies, such as glass, or defects with exactly the same color as the product may not be detected. So the laser scanning system is used for detecting defects when the products and the defects have the same color. A laser sorting system is designed and improved based on the selective absorption principle. And a high-speed signal sampling experiment and a imaging experiment for the system were tested. By the selective absorption sorting technology, both products and foreign bodies were identified efficiently in the signal sampling experiment. The headline in the newspaper was selected as the imaging experimental sample and the diameter of scanning spot was adjusted close to 0.35 mm. The scanning data recorded through computer program was imaged by software. The resolution of the experimental result is 180*43 pixel. Imaging results illustrate that defects (1.5 mm) can be recognized accurately. Finally, after optical scanning system was analyzed, the phenomenon was found that most of the flux was lost due to the non-perpendicular illumination of the sample. A curve scanning sorting structure was proposed for improving traditional sorting system.
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References
[1]
|
Wendy Meulebroeck, Hugo Thienpont. The study of vegetationindices for the monitoring of differences in chlorophyll andcarotenoid composition in green vegetables [C]//SPIE, 2012,8349: 8439201-83492011. |
[2]
|
|
[3]
|
|
[4]
|
Qin Yang, Chuan Sun, Guan Hao Zhao, et al. Research oftobacco sorting system and equipment based on the internet ofthings[J]. Advance Materials Research, 2012, 472: 3435-3440. |
[5]
|
Liu Ying, Chen Hongjun. Diffuse reflection ratio measurementon the surfaces of layered tissues with near infrared light[J].Infrared and Laser Engineering, 2004, 33(1): 107-110. |
[6]
|
|
[7]
|
Cui Ji, Fu Huan, Liu Ye, et al. Experiment of laser backscattering characteristics for typical rough surfaces [J].Infrared and Laser Engineering, 2013, 42(5): 1208-1211. |
[8]
|
|
[9]
|
Meulebroeck W, Thienpont H. Optical detection techniquesfor laser sorting machines [C]//SPIE, 2006, 6189: 61891F1-61891F7. |
[10]
|
|
[11]
|
Marc Ruymen, Bierbeekstraat, Korbeek-LO. Method andapparatus for detecting irregularities in a product [P]. US:6473168B1, 1998. |
[12]
|
|
[13]
|
Meulebroeck W, Berghmans P, Thienpont H. Improved designof a laser scanning system for food analysis applications[C]//SPIE, 2008, 6991: 69911B1-69911B10. |
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Proportional views
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