- Гриб'юк, О.О. (orcid.org/0000-0003-3402-0520) and Стуга, Р.Л. (orcid.org/0009-0001-9150-855X) (2025) Development of an image analysis and recognition system using the Face API library In: Фундаментальна основа стратегічно важливих напрямів діяльності ЗВО у творчих математичних здобутках університетської молоді: матеріали Всеукраїнської науково-практичної конференції здобувачів вищої освіти і молодих вчених . ХНАДУ, м. Харків, Україна, pp. 225-229.
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Abstract
Based on the research conducted, a web application has been designed and developed that can detect faces in images and video streams in real time using modern technology. Its practical significance lies in the further use of image recognition system construction techniques, which will enable the effective creation of applications with algorithms and architectures of varying complexity. Despite significant achievements in this area, research shows that many models still suffer from insufficient stability under various conditions. This creates new opportunities to improve existing algorithms, particularly by integrating new neural network architectures that can provide innovative image recognition solutions. This study provides a comprehensive analysis of existing systems for image analysis using artificial intelligence technologies, meeting the current needs of the modern world and representing an important step in the development of the information society.
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