The document proposes a smart city system using facial recognition on surveillance cameras to track suspects in real-time. It outlines the current manual process police use to search surveillance footage which is time-consuming. The proposed system would use machine learning to create a facial recognition model trained on government ID photos. This would allow the system to automatically detect and alert police to a suspect's location across multiple cameras in real-time, improving efficiency over the current manual process. Concerns about privacy and costs are mentioned as challenges that would need to be addressed for such a system.