Investigation of adaptive properties of a visual control model for robotic filling lines

This article examines modern approaches to quality management in robotic filling lines using visual inspection systems. The primary objective of the study is the development and implementation of a product quality control methodology at the filling and packaging stages, ensuring high precision and process stability. An analysis of existing visual inspection methods was conducted, identifying their advantages and disadvantages, and enhancements were proposed to facilitate their integration into automated control systems. A quality management model was developed that considers the specifics of robotic filling lines, including variability in production conditions and the necessity of process standardization. The results obtained confirm the effectiveness of the proposed solutions in enhancing product quality, minimizing losses, and optimizing production processes. The proposed methodology contributes to increasing the adaptability and flexibility of production systems, which is particularly important given dynamic market demands and rapid technological advancements. The article's conclusions underscore the importance of integrating adaptive visual inspection into modern robotic systems and the need for standardization to ensure stability and reproducibility of production operations. The study's findings can be applied across various industries utilizing robotic filling and packaging lines and will serve as a foundation for further scientific research in the fields of automation and quality management.