APPLYING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN INSTALLED VIDEO SURVEILLANCE SYSTEMS TO ENSURE THE SECURITY OF APARTMENTS

This scientific article examines the integration of artificial intelligence (AI) technologies into residential security systems to prevent apartment burglaries. Special attention is given to intelligent video surveillance systems installed in the entrances of multi-apartment buildings that can recognize residents, their relatives, and authorized trusted persons. The paper analyzes machine learning methods, computer vision, and biometric identification, as well as the advantages and limitations of their practical application. It is shown that the use of AI can significantly increase the level of security and enable a transition from passive monitoring to active crime prevention. The article also considers the problem of safeguarding residential premises under conditions of increasing burglary rates, discusses the constraints of traditional security systems, and substantiates the expediency of introducing AI into protection solutions. It is demonstrated that AI improves the effectiveness of preventing unlawful actions through intelligent data analysis and threat forecasting. Key implementation directions, as well as challenges and prospects for applying AI in everyday (household) security, are discussed.本学术论文探讨了将人工智能（Artificial Intelligence）技术集成至住宅安防系统以防范公寓入室盗窃的相关研究。研究重点关注安装于多户住宅楼入口处的智能视频监控系统，该系统可识别住户、其亲属及授权信任人员。本文分析了机器学习（Machine Learning）方法、计算机视觉（Computer Vision）与生物特征识别（Biometric Identification）技术，以及这些技术在实际应用中的优势与局限。研究表明，人工智能的应用可显著提升安防水平，并实现从被动监控向主动犯罪预防的转变。本文还探讨了入室盗窃率攀升背景下的住宅楼宇安防保障问题，分析了传统安防系统的局限，并论证了将人工智能引入安防解决方案的合理性。研究证实，人工智能可通过智能数据分析与威胁预测，提升预防不法行为的效能。本文还讨论了人工智能应用于日常（家用）安防的核心实施方向、面临的挑战与发展前景。