Прикладні застосування систем комп’ютерного зору

Abstract

This paper explores the applied applications of computer vision (CV) systems across various industries. It defines the fundamental principles of CV and highlights core technologies such as convolutional neural networks (CNNs) and deep learning. The study examines practical use cases, including biometric authentication in mobile devices, intelligent video surveillance, autonomous driving systems, and automated medical image analysis. Furthermore, the research addresses critical challenges hindering widespread adoption, notably the scarcity of high-quality annotated training data, the fatal consequences of recognition errors in mission-critical environments, and the profound ethical and privacy concerns associated with biometric surveillance and algorithmic bias