Spatial intelligence represents the cutting-edge of artificial intelligence development. It is not only the product of the evolution of multiple digital technology paradigms but also an algorithmic tool that drives multiple changes in social governance. At present, public security organs have not yet fully integrated spatial intelligence into their practical work. Grassroots police officers mostly adopt traditional models to handle police situations, which are cumbersome and inefficient.Studies have shown that spatial intelligence can play a good auxiliary role for public security organs in reproducing crime scenes, constructing evidence chains, and daily patrols. However, problems such as privacy leakage, technical black boxes, and over-reliance may arise during its use. Therefore, methods such as strengthening privacy protection, optimizing technology, and formulating corresponding laws have been proposed to solve these problems.Spatial intelligence empowers traditional policing to move towards a new era of smart policing characterized by digitalization, networking, and intelligence. It promotes the intelligent transformation of policing activities from being “people-oriented” to “technology-led”, and accelerates the modernization of policing activities.