Khalimonov, Y. I.Sotnik, S. V.2024-12-152024-12-152024Khalimonov Y. I. Overview of computer vision areas application for inspection and quality control / Y. I. Khalimonov, S. V. Sotnik // Комп’ютерно-інтегровані технології автоматизації технологічних процесів на транспорті та у виробництві : матеріали всеукр. наук.-практ. конф. здобувачів вищ. освіти і молодих учених, 20 листоп. 2024 р. - Харків. нац. автомоб.-дор. ун-т. – Харкiв, 2024. – С. 117–121.https://openarchive.nure.ua/handle/document/29451The work discusses the integration of computer vision technologies into modern production processes, focusing on their role in automating inspection and quality control. By leveraging high-resolution cameras, lighting systems, and advanced image processing algorithms, these systems ensure consistent product quality, reduce manual labor, and minimize the impact of human error. Key functionalities include surface defect detection (e.g., scratches, cracks), dimensional accuracy measurement, assembly verification, and shape analysis. Advanced methods like 3D scanning and machine learning are highlighted as pivotal for detecting defects with high precision and adapting to dynamic production environments. Additionally, the integration with Big Data and manufacturing solutions (e.g., ERP and MES) facilitates efficient quality data management. The work emphasizes that computer vision systems enhance production efficiency, cost-effectiveness, and product reliability, making them indispensable tools in modern manufacturing. It concludes by noting the technology's growing importance for professionals in automation and robotics, offering vast opportunities for innovation and research.en-UScomputer visionQuality Control3D Vision SystemsOCR (Optical Character Recognition)Edge DetectionFeature ExtractionObject DetectionMachine LearningDeep Learningimage processingConference proceedings