基于机器视觉技术的红枣全表面信息无损分拣系统研究与实现
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(1. 广东白云学院机电工程学院,广东 广州 510450;2. 广东非思智能科技股份有限公司,广东 广州 510507)

作者简介:

钟小华,女,广东白云学院助教,硕士。

通讯作者:

曹玉华(1958—),女,广东白云学院教授,博士。E-mail:yh.cao@baiyunu.edu.cn

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基金项目:

广东省智能制造应用型人才协调育人基地(编号:粤高教函\[2016\]31号)


Research and implementation of the non-destructive sorting system for full surface information of jujube based on machine vision technology
Author:
Affiliation:

(1. School of Electromechanical Engineering, Guangdong Bai yun University, Guangzhou, Guangdong 510450, China; 2. Guangdong Face Intelligence Technology Co., Ltd, Guangzhou, Guangdong 510507, China)

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    摘要:

    设计了基于机器视觉技术相配套的红枣全表面信息无损分拣系统,整机由红枣自动喂料机构、红枣排序机构、输送及调整机构、分级执行机构、检测及控制部分组成。该系统利用镜面反射原理设计的红枣表面信息采集机构,能同时采集红枣正面、两侧面和底部图像,完成红枣全表面信息的获取,解决了以往分拣系统无法在高速运输状态下在线呈现红枣全表面信息的难点。基于视觉的无损分级软件将实时处理采集到的图像,分析与获取红枣的果形大小、表面质量、纹理等表面信息,并采用信息融合技术进行判别分级。试验结果表明,本系统分级速度快,分级准确率达到90%以上,可较好满足红枣自动化快速检测分级生产要求。

    Abstract:

    Based on machine vision technology, a non-destructive sorting system for full surface information of jujube is designed. The whole machine consists of several parts, including automatic feeding mechanism, sorting mechanism, conveying and attitude adjustment mechanism, grading actuator, detecting and controlling part. Based on theory of mirror reflection principle, an inspection mechanism that can provide the full surface information to the Image processing software is designed to capture a top image, a bottom image and two side images of jujube at the same time, then the problem that the previous sorting system cannot acquire a whole surface information of the red jujube in the condition of high speed transportation is solved. The grading software is designed to process the acquired images in real time, and obtains the surface information such as fruit shape, surface quality and texture. Finally, information fusion technology is used to sort the red jujube with the surface information. The test result shows that the sorting speed of this system is fast, and the sorting accuracy is more than 90%. It can meet the production requirements of detecting and sorting jujube rapidly in an automated way.

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引用本文

钟小华,曹玉华,张永清,等.基于机器视觉技术的红枣全表面信息无损分拣系统研究与实现[J].食品与机械,2017,33(5):114-118.
ZHONGXiaohua, CAOYuhua, ZHANGYongqing, et al. Research and implementation of the non-destructive sorting system for full surface information of jujube based on machine vision technology[J]. Food & Machinery,2017,33(5):114-118.

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  • 在线发布日期: 2023-03-10
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