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基于智能视觉识别的冬枣分选检测系统设计 被引量:5

Sorting and detecting system design of winter jujube based on intelligent vision recognition
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摘要 针对目前我国冬枣人工分选效率低、工人劳动强度大和分级效果不准确等问题,研究一种冬枣智能分选系统。该系统基于Openmv视觉处理技术,以Arduino mega 2560单片机为控制核心,实现对冬枣快速统一的色选及大小分选。经过样机试验数据验证,该系统能够有效地实现冬枣分选功能,单通道分选速度达到60颗/s以上,分选准确率提高至96%以上,漏检和错检概率降低到4%以下,且能够减少用工数量和降低劳动强度,具有良好的推广应用前景。 In order to solve problems of low efficiency of artificial sorting, high labor picking intensity and inaccurate sorting effect of winter jujube, an intelligent sorting system of winter jujube is studied. The intelligent sorting systems is based on Openmv vision processing technology, and take Arduino Mega 2560 single chip computer as control core. Through prototype experimental data verification, the system can effectively realize the sorting function of winter jujube. The single channel sorting speed reaches more than 60 pieces per second. The sorting accuracy increased to more than 96%, the probability of missed and mistaken detection is reduced to less than 4%,and also reduce the number of workers and labor intensity, It has a good prospect of popularization and application.
作者 侯鹏帅 刘玉乐 宋欣 封然然 李涛 张可成 Hou Pengshuai;Liu Yule;Song Xin;Feng Ranran;Li Tao;Zhang Kecheng(Tianjin Agricultural University,Tianjin,300384,China)
机构地区 天津农学院
出处 《中国农机化学报》 北大核心 2020年第3期109-114,共6页 Journal of Chinese Agricultural Mechanization
基金 2018年国家级大学生创新创业训练计划项目(201810061011) 天津农学院教育教学研究与改革重点项目(2018-A-26)。
关键词 冬枣 分选检测 色选 大小分拣 Openmv视觉处理 winter jujube sorting and detecting color sorting size sorting Openmv vision processing
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