Development of Smart Video Surveillance Systems: Technical and Security Challenges in Urban Environments

Abstract

Video surveillance schemes have become a critical tool for safeguarding urban and industrial services, thanks to the rapid advancement in object recognition, tracking, and human activity analysis technologies. The achievement of these systems relies on background analysis, motion detection, and innovative solutions for real-time data processing and storage. These schemes have transitioned from analog setups to IP-based systems, offering more flexibility and remote control capabilities. However, they face important cybersecurity challenges, such as data breaches, bandwidth consumption, and high processing demands. This research explores the technological advancements in video surveillance systems, focusing on the security challenges and analytics in urban environments. Furthermore, it discourses strategies for optimizing system efficiency through modern compression algorithms and real-time human activity analysis.