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Дата издания
15.10.2024На каком языке издана
ISSN
1609-1817 (Print)Область исследования
Тип исследования
Аннотация (краткое описание)
The paper presents a vision system for calculating the number of parts on a conveyor belt. The system is designed to solve the problems of quality control and product counting in industrial production conditions. The system consists of hardware and software. The hardware includes a high-resolution camera that captures detailed images of objects, a lighting system for evenly illuminating objects for accurate segmentation and recognition, and a computer with sufficient computing power to process images in real time. The software includes machine learning algorithms implemented on the basis of modern libraries and frameworks, an image preprocessing module that includes noise reduction, contrast and normalization methods, an object segmentation module that highlights individual objects in an image, an object recognition module that classifies selected objects by type, an object counting module that determines the number of objects of each type. As a result, the system was tested on a set of images with details. The accuracy of the calculation was 98%. This system can be used in various industries to automatically count parts on conveyor belts.DOI
DOI 10.52167/1609-1817-2024-134-5-132-139Тип публикаций
Практическое значение
lies in the development of an automated vision system for counting parts on a conveyor belt, which improves the efficiency and accuracy of industrial production processes. The proposed system enables real-time monitoring and automatic counting of products, reducing the need for manual labor and minimizing human errors during quality control and inventory operations.Impact Factor
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Статья 03.pdf