Mazurets, O. V.Klimenko, V. I.Molchanova, M.O.Sultanov, A.V.Мазурець, Олександр Вікторович2024-12-102024-12-102024Mazurets O. V., Klimenko V. I., Molchanova M. O., Sultanov A. V. Object-Oriented Intelligent System for Neural Network Detection of Sugar Crystallization Zones. Global Science: Prospects and Innovations. Proceedings of the 10th International scientific and practical conference. Cognum Publishing House. Liverpool, United Kingdom. 2024. Pp. 198-207.https://elar.khmnu.edu.ua/handle/123456789/17240A method for detecting sugar crystallization zones in production has been developed to optimize processes and automate problem detection. It uses a trained neural network and image analysis to classify and explain crystallization zones. The system's object-oriented architecture includes four subsystems and a database, with detailed functions and roles described. The design comprises nine classes, outlining the functional purpose and software components for neural network-based image multi-classification. Key implementation features of the intelligent system are also highlighted.enСтаття