Abstract
A precise positioning method for peanut ellipsoid target with gravity center height compensation is proposed, which is suitable for field operation. This method optimizes the field calibration steps and completes the belt plane calibration with the help of self-made high-precision calibration block. The ellipse contour curve of peanut was fitted by the direct least square method, and the short half axis size was corrected again. The horizontal plane of the conveyor belt was taken as the reference, and the actual center of gravity of peanut was mapped to make positioning compensation. Grasping success rate increased from 87% to 97%. Field test shows that the positioning method has good industrial practicability which can meet the needs of actual production.
Publication Date
2-28-2021
First Page
164
Last Page
168
DOI
10.13652/j.issn.1003-5788.2021.02.028
Recommended Citation
Lin-feng, GU; Ya, LI; Yan-yu, DING; and Ke, SUN
(2021)
"Research on precise positioning method of conveyor belt for peanut,"
Food and Machinery: Vol. 37:
Iss.
2, Article 28.
DOI: 10.13652/j.issn.1003-5788.2021.02.028
Available at:
https://www.ifoodmm.cn/journal/vol37/iss2/28
References
[1] 杨少荣. 机器视觉算法与应用[M]. 北京: 清华大学出版社, 2008: 378-443.
[2] LEE K M. Machine vision[M]. Taylor and Francis:CRC Press, 2015: 15-33.
[3] XIA Ke, WENG Zheng-xin. Workpieces sorting system based on industrial robot of machine vision[C]//International Conference on Systems & Informatics. [S.l.]: IEEE, 2016: 422-426.
[4] 尹双双, 姜海勇, 李娜, 等. 花生负压分级试验[J]. 食品与机械, 2018, 34(7): 86-89.
[5] TSAI R Y, LENZ R K. A new technique for fully autonomous and efficient 3D robotics hand-eye calibration[J]. IEEE Transactions on Robotics and Automation, 1989, 5(3): 345-358.
[6] 胡寒. 基于机器视觉的Delta机器人动态抓取系统关键技术的研究[D]. 广州: 广东工业大学, 2019: 34-38.
[7] 李楠, 平雪良, 王晨学, 等. 一种机器人的平面约束自标定技术研究[J]. 机械科学与技术, 2019, 38(8): 1 214-1 222.
[8] 许国树, 言勇华. 一种基于场景特征的工业机器人手眼自动标定方法[J]. 机械设计与研究, 2019, 35(6): 17-21.
[9] 郭新年, 白瑞林, 王秀平. 基于主动视觉的手眼矩阵和光平面标定方法[J]. 计算机工程与应用, 2015, 51(19): 56-60.
[10] LIU Kun, LIU Wei-dong. Detection algorithm for infrared dim small targets based on weighted fusion feature and ostu segmentation[J]. Computer Engineering, 2017, 43(7): 253-260.
[11] 张凯. 花生米品质分选系统的关键技术研究[D]. 济南: 山东大学, 2019: 26-32.
[12] 张墨逸, 张秋余, 段宏湘, 等. 基于运动轨迹的单目相机位姿自标定方法[J]. 华中科技大学学报(自然科学版), 2019, 47(2): 64-69.
[13] ZHANG Zheng-you. A flexible new technique for camera calibration[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2000, 22(11): 1 330-1 334.
[14] FITZGIBBON A W, PILU M, FISHER R B. Direct least squares fitting of ellipses[J]. IEEE Trans on Pami, 1996, 21(5): 253-257
[15] 杨麒, 李天伟, 黄谦, 等. 基于直线投影特征的镜头畸变校正方法[J]. 计算机测量与控制, 2018, 26(9): 264-268.