Full vector intelligent detection of cigarette appearance based on machine vision

Shifei Jiang; Zhaoguo Zhang; Faan Wang; Zhi Li; Kaiting Xie; Chenglin Wang; Jinhao Liang

Open Journal Systems

Full vector intelligent detection of cigarette appearance based on machine vision

Shifei Jiang, Zhaoguo Zhang, Faan Wang, Zhi Li, Kaiting Xie, Chenglin Wang, Jinhao Liang

Abstract

As the final output product of tobacco agriculture, the appearance quality of cigarettes is the key link to control. However, there is no special detection equipment for the whole appearance defect detection of tobacco, while it mainly depends on manual detection, leading to the test standard is not unique and the test data cannot be stored effectively. In this research, the shape characteristics and appearance inspection requirements of cigarettes were analyzed with the black-box method. Then, a kind of cigarette appearance quality inspection equipment was designed, and the experimental data of the equipment was analyzed with Design-Expert11. The results show that the device can image the appearance of a cigarette completely. The optimum parameters of the equipment are: the lifting speed of slide plate is 0.3 m/s, the angle of transition plate is 40°, the displacement speed of roller is 0.045 m/s, the movement speed of the slide plate is 0.4 m/s, the expansion speed of the cylinder is 20 mm/s, the spring coefficient is 3 n/s, the angle of the light source is 10°, and the height difference between the light source and the cigarette is 30 mm. The equipment can meet the needs of cigarette appearance detection and provide a reference for cylindrical object appearance detection.

Keywords

visual detection; cigarette appearance; full vector detection; convolutional neural network; cylindrical object detection

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