A grader for fresh jujube with electromagnetic synchronous actuator assembly

IF 2.7 3区 农林科学 Q3 ENGINEERING, CHEMICAL
Jun Zhang, Hao Yu, Ningbo Kang, Qianjin Qu, Bo Cheng, Peng He
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引用次数: 0

Abstract

In recent years, the post-harvest commercialization of fresh jujube sorting technology is backward, the efficiency of manual grading is low, and the application of machine vision technology in fruit grading has been a research hotspot. To improve the grading accuracy and speed of the fresh jujube machine vision grading machine, this study designs a method of fresh jujube machine vision grading using an electromagnetic synchronous actuator. The grading machine consists of an automatic distribution and arrangement system, an image acquisition and processing system, and a synchronous actuator assembly, which uses a sensitive electromagnet to adsorb a silicon steel switching buckling plate to execute the action. The image processing process includes an image color component, Sobel operator filtering, Otsu method binarization, and ellipse fitting to extract the color and size eigenvalues. The experimental results show that the date images can be acquired quickly and processed accurately with a processing speed of 50 ms per frame. In addition, the proposed actuator can be sensitively triggered with a response time of 40 ms. The grader successfully classified jujube into five size classes and one color class. The grading accuracy and non-destructive rate reached 93.7% and 100%, respectively. The grading efficiency is 20 jujubes per second, with a maximum production rate of 1400 kilograms per hour. This grading machine realizes the requirements of high accuracy, high speed, and non-destructive grading of fresh jujube and provides an important technical and theoretical basis for the development of machine vision jujube rapid grading technology.

Practical applications

In recent years, sorting technology in the post-harvest commercialization of fruits has been outdated, and manual grading has been inefficient. The application of machine vision technology in fruit grading has been a research hotspot in recent years. This study designs a machine vision grading of fresh dates with an electromagnetic synchronous actuator. The grader was composed of a roller conveyor, synchronous actuator assembly, image main processor, and actuator controlling co-processor. Experimental results indicated that jujube images could be acquired rapidly and processed accurately, with a processing speed of 50 ms per frame. In addition, the proposed actuator could be sensitively triggered with a response time of 40 ms. Finally, the grader successfully sorted jujubes into five size classes and one color class. The grading accuracy rate and non-destructive rate reached 93.7% and 100%, respectively. The grading efficiency was 20 jujubes per second, and the maximum productivity was 1400 kg/h.

带电磁同步推杆组件的鲜枣分级机
近年来,鲜枣采后商品化分选技术落后,人工分级效率低,机器视觉技术在水果分级中的应用一直是研究热点。为了提高鲜枣机器视觉分级机的分级精度和速度,本研究设计了一种利用电磁同步执行机构进行鲜枣机器视觉分级的方法。该分级机由自动分配和排列系统、图像采集和处理系统以及同步执行器组件组成,同步执行器组件利用灵敏电磁铁吸附硅钢开关扣板来执行动作。图像处理过程包括图像颜色分量、Sobel 算子滤波、大津法二值化和椭圆拟合,以提取颜色和尺寸特征值。实验结果表明,可以以每帧 50 毫秒的处理速度快速获取并准确处理日期图像。此外,所提出的执行器可灵敏触发,响应时间为 40 毫秒。分级机成功地将红枣分为五个大小等级和一个颜色等级。分级准确率和无损率分别达到 93.7% 和 100%。分级效率为每秒 20 个红枣,最大生产率为每小时 1400 公斤。该分级机实现了鲜枣高精度、高速度、无损分级的要求,为机器视觉红枣快速分级技术的发展提供了重要的技术和理论依据。实际应用近年来,水果采后商品化分拣技术落后,人工分级效率低下。机器视觉技术在水果分级中的应用是近年来的研究热点。本研究设计了一种利用电磁同步执行机构进行鲜枣机器视觉分级的方法。分级机由辊道输送机、同步推杆组件、图像主处理器和推杆控制协处理器组成。实验结果表明,红枣图像可以快速获取并准确处理,每帧处理速度为 50 毫秒。此外,拟议的致动器可灵敏触发,响应时间为 40 毫秒。最后,分级机成功地将红枣分为五个大小等级和一个颜色等级。分级准确率和无损率分别达到 93.7% 和 100%。分级效率为每秒 20 个红枣,最高生产率为每小时 1400 公斤。
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来源期刊
Journal of Food Process Engineering
Journal of Food Process Engineering 工程技术-工程:化工
CiteScore
5.70
自引率
10.00%
发文量
259
审稿时长
2 months
期刊介绍: This international research journal focuses on the engineering aspects of post-production handling, storage, processing, packaging, and distribution of food. Read by researchers, food and chemical engineers, and industry experts, this is the only international journal specifically devoted to the engineering aspects of food processing. Co-Editors M. Elena Castell-Perez and Rosana Moreira, both of Texas A&M University, welcome papers covering the best original research on applications of engineering principles and concepts to food and food processes.
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