Surveillance has evolved significantly with the advent of machine learning, particularly in the field of computer vision. This article explores the applications of machine learning in surveillance, such as object recognition, anomaly detection, facial recognition, behavior analysis, predictive policing, and traffic management. It also discusses the challenges and ethical considerations of using machine learning in surveillance.
