Vestnik of Omsk SAU

ВЕСТНИК ОМСКОГО ГОСУДАРСТВЕННОГО АГРАРНОГО УНИВЕРСИТЕТА

2222-0364

132218

GXUKYG

АГРОИНЖЕНЕРИЯ

AGROENGINEERING

АГРОИНЖЕНЕРИЯ

DEVELOPMENT OF A COMPUTER VISION SYSTEM FOR NON-DESTRUCTIVE QUALITY ASSESSMENT AND CLASSIFICATION OF CHICKEN EGGS

РАЗРАБОТКА СИСТЕМЫ КОМПЬЮТЕРНОГО ЗРЕНИЯ ДЛЯ НЕРАЗРУШАЮЩЕЙ ОЦЕНКИ КАЧЕСТВА И КЛАССИФИКАЦИИ КУРИНЫХ ЯИЦ

ШИРМАНОВА

Г С

SHIRMANOVA

G S

НЕВЕРОВ

Е Н

NEVEROV

E N

ВЛАДИМИРОВ

А А

VLADIMIROV

A A

ОСИНЦЕВ

А М

RUDNEV

P S

РУДНЕВ

П С

RUDNEV

P S

Кемеровский государственный университет ru Kemerovo State University ru

25 09 2025

59 3 158 168 06 09 2025 15 09 2025

https://vestnik.omgau.ru/en/nauka/article/132218/view

В настоящее время существует высокий спрос на птицеводческую продукцию. Выведение сельскохозяйственной птицы в промышленных масштабах возможно за счет применения искусственных инкубаторов. Важный фактор для выводимости яиц - предварительная оценка их пригодности к инкубации, а применение систем компьютерного зрения (СКЗ) позволит повысить точность данной оценки и исключить из процесса оценки погрешность, связанную с так называемым «человеческим фактором», результатом чего станет повышение их выводимости. Метод оценки пригодности яиц к инкубации посредством СКЗ не только точный, но и неинвазивный. Описана СКЗ для оценки качества куриных яиц. Сделан выбор аппаратных компонентов и программного обеспечения для разработки СКЗ. Написана управляющая программа для осуществления взаимодействия составных элементов СКЗ в рамках её функционала. В функционал СКЗ входят получение и обработка изображений, определение большого и малого диаметров яиц, вывод информации в текстовом виде. В статье проанализирована работа СКЗ при различных положениях анализируемых образцов. Проведено сравнение больших и малых диаметров яиц, измеренных механическим способом и посредством СКЗ. Средняя точность измерений составила 99,24%.

. Currently, there is a high demand for poultry products. Breeding of poultry on an industrial scale is possible through the use of artificial incubators. An important factor for egg hatchability is a preliminary assessment of their suitability for incubation, and the use of computer vision systems (CVS) will improve the accuracy of this assessment and eliminate the error associated with the so-called "human factor" from the evaluation process, resulting in an increase in their hatchability. The method of assessing the suitability of eggs for incubation by CVS is not only accurate, but also non-invasive. This article describes a CVS for evaluating the quality of chicken eggs. A selection of hardware components and software for the development of the CVS has been made. A control program has been written to implement the interaction of the components of the CVS within its functionality. The functionality of the CVS includes image acquisition and processing, the determination of large and small egg diameters, and the output of information in text form. Within the framework of this work, the operation of the CVS at various positions of the analyzed samples is analyzed. A comparison of large and small diameters of eggs measured mechanically and by means of CVS has been carried out. The average measurement accuracy was 99.24%.

оценка качества компьютерное зрение классификации куриных яиц микрокомпьютер дисплей контур яиц детектирование пиксели измерения

quality assessment computer vision egg classification microcomputer display egg contour detection pixels measurements

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