Crime prevention is being transformed by the Internet of Things (IoT) through proactive, smart solutions. Abstract This paper presents some techniques at the time of crime prevention by the use of IoT. Through the use of IoT driven surveillance systems, integrated smart sensors, real-time data aggregation and analytics, and automated alerts to emergency services and law enforcement, crime prevention, identification, and response are improved significantly. AI in Smart City: The study also calls out real-time examples such as smart cities establishing AI powered CCTV, IoT-enabled access control, predictive policing [1]. The contemporary world faces the overwhelming challenge of crime. Criminal activity exists in almost every country and the statistics for certain nations are quite alarming. The advancement of technology has been one of the most significant factors in the development of crime control and prevention measures, such as drone surveillance, GPS tracking and tagging, closed circuit television cameras, etc. Technological advances such as the IoT (Internet of Things), Machine Learning, and Edge Computing call for the attention of the scientific world in regards to the question: how can they utilize these innovations for the purpose of minimizing criminal activities globally? In conclusion, the research results reflect on the employability of AI and IoT technologies in reinforcing security and obstructing offences against state and equally, challenges and ethical issues that accompany their employments [2].