Design and Experiment of a Garlic Orientation and Orderly Conveying Device Based on Machine Vision

Jianneng Chen, Chennan Yu, Kun Yao, Yun Zhou and Binsong Zhou
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Jianneng Chen: Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou 310018, China
Chennan Yu: Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou 310018, China
Kun Yao: Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou 310018, China
Yun Zhou: Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou 310018, China
Binsong Zhou: Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou 310018, China

Agriculture, 2022, vol. 12, issue 8, 1-13

Abstract: Aiming at the problem that the existing garlic-root-cutting equipment requires the orientation and orderly conveying of garlic, a garlic orientation and orderly conveying method based on machine vision and mechanical orientation mechanisms was proposed and a garlic orientation and orderly conveying device was designed. To realize garlic posture recognition, garlic and garlic roots were used as detection objects, the YOLOv5s objection detection model was used to establish a garlic feature detection model, and the model was trained. The garlic orientation and orderly conveying device was developed and a garlic posture recognition test and garlic orientation and orderly conveying test were completed. The test results show that the success rate of posture recognition is 98.67% and the average accuracy rate of the garlic deviation angle is 99.11%. When the conveying speed is 95 mm ⋅ s − 1 and the rotating speed is 55 rpm, the orientation success rate is 95.6% and the conveying efficiency reaches 75 garlic per minute, which meets the design requirements. The accuracy of the garlic posture recognition method and the rationality of the garlic orientation and orderly conveying device design are verified, and the automatic orientation and orderly conveying of garlic is realized.

Keywords: garlic root cutting; automatic orientation; YOLOv5s; posture recognition (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
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