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Design and experiment of cracked egg sorting robot based on machine vision and YOLO v5
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Jiayi CAI1, Shiwei LIU1, Longxiang SHAN1, Yong LIU1, Hongyi SHEN1, Qiaohua WANG1, 2
Journal of Intelligent Agricultural Mechanization | 2025, 6(1) : 41 - 50
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Journal of Intelligent Agricultural Mechanization | 2025, 6(1): 41-50
Design and experiment of cracked egg sorting robot based on machine vision and YOLO v5
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Jiayi CAI1, Shiwei LIU1, Longxiang SHAN1, Yong LIU1, Hongyi SHEN1, Qiaohua WANG1, 2
Affiliations
  • 1.College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
  • 2.Key Laboratory of Agricultural Equipment in Mid-lower Yangtze River, Ministry of Agriculture and Rural Affairs, Wuhan 430070, China
  • CAI Jiayi, E-mail:

About Author:

CAI Jiayi, E-mail:

Published: 2025-02-15 doi: 10.12398/j.issn.2096-7217.2025.01.004
Outline
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With the improvement of our national living standard, consumers have higher requirements for the quality of eggs. The detection of cracked eggs is an important step before packing eggs. In order to solve the problems of high labor intensity and heavy workload in manual sorting of cracked eggs, a cracked egg sorting robot based on machine vision and YOLO v5 was designed. Firstly, the rotation Angle of each steering gear of the manipulator was obtained by inverse kinematics and converted into PWM duty cycle to realize the control of the three-axis series manipulator. Secondly, a high-definition 120°wide-angle camera was used as the image acquisition core to quickly acquire the image information of egg surface and label the 1 000 images collected. YOLO v5 models with different gradient descent batch sizes were then trained respectively, among which the model with gradient descent batch size of 8 had the highest mAP with a value of 98.92%. Finally, the model was called on the main board of the upper computer of the mechanical arm, and after the recognition and judgment of normal eggs and cracked eggs, the sorting stroke of the mechanical arm was started. In addition, the end pickup mechanism of the egg sorting robot was a pneumatic suction cup, which was mounted on the mechanical arm to achieve non-destructive absorption of eggs. The test results showed that the robot can identify the two kinds of eggs with the accuracy of 93.33% and 99.17%respectively, the average success rate of sorting is 94.34%, and the average sorting rate was 7.55 s/egg, which basically met the requirements. The research results can provide technical support for the screening of cracked eggs, and provide solutions for crack detection and sorting of eggs, which has high practical significance.

cracked egg  /  YOLO v5  /  machine vision  /  three-axis mechanical arm  /  intelligent sorting
蔡家一, 刘世伟, 单龙祥, 刘勇, 沈红怡, 王巧华. 基于机器视觉与YOLO v5的裂纹蛋分拣机器人设计与试验. 智能化农业装备学报(中英文), 2025 , 6 (1) : 41 -50 . DOI: 10.12398/j.issn.2096-7217.2025.01.004
Jiayi CAI, Shiwei LIU, Longxiang SHAN, Yong LIU, Hongyi SHEN, Qiaohua WANG. Design and experiment of cracked egg sorting robot based on machine vision and YOLO v5[J]. Journal of Intelligent Agricultural Mechanization, 2025 , 6 (1) : 41 -50 . DOI: 10.12398/j.issn.2096-7217.2025.01.004
  • National Natural Science Foundation of China(52005203; 52375542)
  • Fundamental Research Funds for the Central Universities(2662022GXQD002)
  • National Key Laboratory of Electromagnetic Energy Technology Fund(61422172220507)
  • Provincial Innovation and Entrepreneurship Training Program for Undergraduate(S202310504167)
Year 2025 volume 6 Issue 1
34
10
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Article Info
doi: 10.12398/j.issn.2096-7217.2025.01.004
  • Receive Date:2024-02-01
  • Online Date:2026-11-05
  • Published:2025-02-15
Article Data
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History
  • Received:2024-02-01
  • Revised:2024-04-04
Funding
National Natural Science Foundation of China(52005203; 52375542)
Fundamental Research Funds for the Central Universities(2662022GXQD002)
National Key Laboratory of Electromagnetic Energy Technology Fund(61422172220507)
Provincial Innovation and Entrepreneurship Training Program for Undergraduate(S202310504167)
Affiliations
    1.College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
    2.Key Laboratory of Agricultural Equipment in Mid-lower Yangtze River, Ministry of Agriculture and Rural Affairs, Wuhan 430070, China

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* LIU Shiwei, E-mail:
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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