Smart Police Systems: Enhancing Urban Safety Through AI-Powered Surveillance and Edge Computing

The development of sustainable smart cities and smart police systems is crucial for advancing urban environments, where success depends not only on technological innovation but also on the effective collaboration between key local organizations. This paper proposes a platform that integrates contributions from police departments, universities, provincial authorities, and social associations to implement a high-resolution smart vision system for license plate recognition, edge AI for local vision processing, and cloud-based software for urban cameras. By combining general-purpose cameras with advanced edge AI cameras, the platform reduces data charges by over 90% and crime investigation times by more than 70%. The system includes four license plate cameras, 20 edge AI cameras, and over 100 general cameras, all supported by AI software to reduce software licensing costs across the platform. This collaborative approach enhances law enforcement efficiency and provides a cost-effective, scalable solution for sustainable smart police development.