Image recognition technology in security systems functions through complex algorithms to analyze visual data captured by cameras. The technology uses machine learning models trained on vast datasets to identify and verify subjects, objects, or actions within images. This capability allows security systems to automate monitoring processes, detecting suspicious behavior or recognizing known individuals. Image recognition enhances surveillance effectiveness and can trigger alerts for potential threats, thus improving overall security measures in various settings, from public spaces to private properties.