Published Paper Details:

Rapid urban growth and rising population density have led to increased security challenges in today's cities. Traditional fixed surveillance setups, like CCTV cameras, have limited coverage areas and often leave blind spots. They also rely heavily on existing infrastructure and can be slow in responding to incidents. This paper introduces a new mobile surveillance solution known as the Urban Security Surveillance Car. It uses advanced technologies such as Artificial Intelligence (AI), Internet of Things (IoT), GPS tracking, and cloud computing to improve urban monitoring. The system includes real-time video recording, smart object detection, a central monitoring dashboard, and automatic alert functions. By combining mobility with smart data analysis, the Surveillance Car provides better coverage, faster response times, and easier integration into smart city systems. The proposed model shows better performance and flexibility compared to traditional fixed surveillance methods.