Technological Development Review Of Cctv Until 2030
Abstract
The development of Closed-Circuit Television (CCTV) technology with the integration of blockchain and artificial intelligence (AI) represents a transformative approach to modern surveillance by the year 2030. Over the past two decades, CCTV systems have undergone significant evolution driven by advancements in AI, cloud computing, the Internet of Things (IoT), as well as improvements in sensors and video processing technologies. This study aims to examine the technological evolution of CCTV, current usage trends, and to predict future developments toward 2030. The research methodology involves systematic literature analysis, global technology trend studies, and mapping the digital security industry roadmap. The findings reveal that CCTV systems have progressed from simple analog devices to intelligent, IP-based digital systems equipped with advanced analytics such as facial recognition, object tracking, and behavior analysis using machine learning. By 2030, CCTV technology is expected to integrate real-time video processing through edge computing, blockchain-based security systems, ultra-high resolutions (8K and beyond), and predictive threat capabilities powered by generative AI. Despite the benefits of enhanced security and surveillance efficiency, technological advancements also introduce challenges related to data governance, privacy, regulatory compliance, and ethical considerations. Therefore, privacy-driven policy frameworks and standardized security mechanisms are crucial to ensure safe and responsible utilization of CCTV technology in the future. This article explores how combining decentralized and immutable blockchain ledgers with advanced AI analytics can significantly improve data security, privacy protection, and system integrity in next-generation CCTV infrastructures.
Keywords: CCTV, Blockchain, Artificial Intelligence, Smart Surveillance, Data Security.
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