Research on the impact of artificial intelligence on the development of video surveillance systems

DOI: 10.31673/2412-9070.2025.019458

Abstract

This paper presents the analysis on the impact of artificial intelligence on the development of video surveillance systems, focusing on key technologies and algorithms that significantly enhance the efficiency and functionality of such systems. The main aspects are examined, including automatic object detection, facial recognition, and integration with other technologies, particularly IoT. The advantages of using artificial intelligence are highlighted, including increased data analysis accuracy and reduced human intervention. Ethical and legal challenges associated with the implementation of AI in video surveillance are also discussed. The article contributes to understanding how cutting-edge technologies are transforming security and management systems, opening new opportunities for businesses and society.
Intelligent video analytics, smart facial recognition, asset monitoring, task automation tools, and biometric recognition are just a few examples of AI applications in the field of security and surveillance. AI plays a crucial role in all these aspects, helping the surveillance industry achieve optimal operational efficiency and a high level of security.
The implementation of artificial intelligence in video surveillance systems is a result of technological advancements and the transition of society into the era of machine learning and AI technologies. This process is characterized by the integration of artificial intelligence, the Internet of Things (IoT), cloud services, video surveillance systems, and a range of other technologies to improve operational outcomes. Such a transition promises several advantages, including: increased flexibility and responsiveness in obtaining video data through the computerization of surveillance systems; enhanced efficiency of systems due to the Internet of Things, cloud computing, and automation; and improved accuracy of output data through the use of artificial intelligence.

Keywords: digital video surveillance, machine learning, Internet of Things, artificial intelligence, CCTV.