Real-time width measurement method of cut tobacco based on machine vision for industrial applications

Dong Liang; Jianfeng Lu; Yi Wei; Yingxiong Nong; Tong Lu; Zhiming Chen; Minyi Tan; Zhengyan Zhong

doi:10.1117/12.3009376

11 October 2023 Real-time width measurement method of cut tobacco based on machine vision for industrial applications

Dong Liang, Jianfeng Lu, Yi Wei, Yingxiong Nong, Tong Lu, Zhiming Chen, Minyi Tan, Zhengyan Zhong

Proceedings Volume 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023); 1291822 (2023) https://doi.org/10.1117/12.3009376
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2023), 2023, Wuhan, China

Abstract

Cut tobacco width plays an essential role in the production of the cigarette industry. Current cut tobacco mainly has a width in the range of 0.9 mm, 0.95 mm, and 1.05 mm. With the increase of cut width, the proportion of medium, as well as long filaments in the final products, will increase. In contrast, when the proportion of short and broken shreds decreases, the structural distribution stability of the final products will increase as well. However, if the cut leaf is too wide, the rolled cigarettes tend to be empty, resulting in low flammability and slow ignition speed. Therefore, an online closed-loop control system of cutting machines based on high speed and accurate measurement of the cut tobacco width is a valuable but challenging problem in the modern cigarette industry. This paper proposes a purely nondestructive width measurement method by applying machine vision techniques and machine learning methods for industrial applications. First, the skeleton method and Hough line detection are integrated to achieve a sub-pixel measurement of cut tobacco. Then a global calibration method is implemented to map the measurement result from the image coordinate to a real-world distance. Our experimental results demonstrate that the proposed tobacco width measurement method has the characteristics of a low error rate as well as real-time execution efficiency.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dong Liang, Jianfeng Lu, Yi Wei, Yingxiong Nong, Tong Lu, Zhiming Chen, Minyi Tan, and Zhengyan Zhong "Real-time width measurement method of cut tobacco based on machine vision for industrial applications", Proc. SPIE 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023), 1291822 (11 October 2023); https://doi.org/10.1117/12.3009376

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KEYWORDS

Digital filtering

Tunable filters

Machine vision

Industrial applications

Image filtering

Calibration

Field programmable gate arrays

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