👉 Patrol math is a mathematical framework used in surveillance and security systems to analyze and predict the movement of individuals within a defined area, typically a patrol route. It involves using mathematical models to estimate the probability of an individual being in a specific location at a given time, based on historical data and movement patterns. By understanding these probabilities, patrol officers can optimize patrol routes, allocate resources more efficiently, and anticipate potential threats. The core of patrol math relies on concepts from probability theory, spatial statistics, and machine learning to create dynamic models that adapt to real-time data, enhancing situational awareness and improving overall security effectiveness.
