Smart city/house cybersecurity based on computer vision

This monograph is devoted to the development of intelligent cybersecurity support systems for smart cities and smart homes using computer vision technologies and artificial intelligence methods. It presents a series of practical studies and implemented prototypes, including a drone-based monitoring system for urban environmental dynamics, a smart city traffic flow control system, neural networks for multispectral image recognition, and tools for video stream and text content analysis. Particular attention is given to image classification and clustering, gaze tracking, and deep learning applications for processing large-scale data in real time. The book also explores topics such as image sharpness assessment for human faces, Ukrainian text recognition in video streams, spectral diagnostics of objects (including weapons), and the development of hybrid image storage and retrieval systems in big data environments. This monograph is intended for researchers, engineers, graduate students, and practitioners in the fields of computer vision, cybersecurity, artificial intelligence, smart technologies, and digital urban studies.