This study is a critical examination of the importance of facial recognition and biometric surveillance technologies in the police and the rest of the population and how predictive modelling and combining data can be optimally used to stop crime with the help of AI. The study approach is a descriptive and exploratory research design combined with a mixed method approach to research and the secondary data is analysed with the use of MS Excel and MS Word in order to interpret the quantitative and qualitative findings. The results show that AI-powered systems, such as facial recognition and biometric analytics and predictive policing systems, help achieve significant gains in real-time identification, crime forecasting and investigative efficiency. The study identifies the need to have regulations systems that are now well balanced, transparent, and safeguard human beings’ rights in AI based policing.