International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

This article shows the method and results of experimental RESEARCHES of machines for egg sorting into categories based on size and form using a vision system. The principal difference of the considered machine for automatic sorting of eggs into categories from existing sorting machines is the division of eggs into categories by size and the separation of substandard eggs in the flow. Experimental verification showed that the machine provides the division of eggs in size into four categories and the separation of eggs of irregular shapes and sizes in the flow. The accuracy of separation of eggs into categories depending on the performance. With a productivity of up to two eggs per second, the accuracy of egg separation averages 94.8%., With a productivity of three eggs per second was 87.4%.

A modified flow line for eggs sorting by geometric parameters and forms is discussed in the paper. A method for eggs sorting by shape factor allowing to remove sub-standard eggs is proposed. Also the algorithm for determining the geometric parameters of the eggs using a vision system is considered. The fundamental difference of experimental installation for automatic eggs sorting on the category from existing sorting machines, that share eggs on a category by weight, is separation of eggs on a categories by size and separation substandard eggs in the stream. In the experimental installation mechanism for moving the eggs dismantled and replaced to an endless rope transporter with independent frequency-controlled electric drive. As a result of the experimental verification of system parameters of technical vision on the experimental installation showed that the time required for classification of the eggs is not more than 340 ms.