Effect of feeding Rate and Crop Type on the Performance of Two Types of fruit Sorting Mechanism (Mechanical and Machine-Vision)

Azad Amoughein, Bahram and Afkari-Sayyah, Amir Hossein and Golmohammadi, Abdollah and Rasekh, Mansour (2017) Effect of feeding Rate and Crop Type on the Performance of Two Types of fruit Sorting Mechanism (Mechanical and Machine-Vision). Masters thesis, University of Mohaghegh Ardabili.

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Text (تأثیر نرخ تغذیه و نوع محصول بر عملکرد دو مکانیسم سورتینگ میوه (مکانیکی و ماشین بینایی)) Bahram Azad Amoughein.pdf Download (2MB) | Preview

Abstract

Classification of fruits in defferent classes is the most important stages in postharvest processes. In this process, the accuracy of separating units is depended on the type of mechanism and design parameters of the machine, including feeding rate and product parameters. Fruit motion velocity affect on grading accuracy, therefore, objective and scientific analysis of conveyor velocity can be influence on development of sorting machine. The aims of this research is determining of the effect of motion velocity of fruits on both two mechanical and machine vision mechanisms, and also, determining the accuracy of two mechanisms based on testing them by different fruits which have different shapes. The mechanical mechanism was selected from belt-sorting type (non-parallel belt) in which the distance between belts increases along the length of the belts. The mechanism of machine vision including a conveyor belt, lighting chamber and an imaging camera, took images of fruit passing the camera, in the light box. For two mechanisms, separating of fruits in different classes was don according to fruit size (fruit diameters). Image processing operations performed in offline method and separation process was done based on the results of a discriminant analysis. The experiment was applied on 6 levels of velocity for apple and kiwi fruits. The effect of the velocity and fruit type on the accuracy of mechanical sorting mechanism was significant at P<0.01% and P<0.05%, respectively. Also, the effect of velocity was significant on accuracy of machine vision sorting mechanism (P<0.01), but the type of fruit had not effect on the accuracy of this type of mechanism. According to discriminant analysis, for machine vision mechanism, the relationship between speed and mechanism accuracy was obtained equal to y= -4.86x+ 106 for apples and y = -3.4229x + 100.11 for kiwi fruit, in all levels of conveyor velocity. In general, the results showed that by increasing fruit velocity the accuracy of both fruit sorting mechanisms was reduced.

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