The chapter delves into the transformative impact of IoT on modern surveillance systems, focusing on integrating drone technology, Artificial Intelligence, and Machine learning. It begins by examining how IoT devices enhance monitoring and security, then by analyzing Artificial Intelligence and Machine learning’s role in improving anomaly detection and real-time data analytics, making surveillance more predictive and effective. The chapter also includes case studies showcasing practical implementations of these technologies in crowd and smart city surveillance. Further the chapter addresses critical ethical and privacy issues, such as informed consent, data security, transparency, and legal compliance. Finally, the chapter discusses future trends, highlighting the potential of unsupervised learning to further advance surveillance systems to increase efficiency. Through this analysis, the study underscores the significant role of IoT, Artificial Intelligence, and Machine learning in shaping the future of surveillance technologies.