Face recognition technology has several important applications; three of the most notable are security, authentication, and surveillance. In this paper, we provide an Internet of Things (IoT) enabled face recognition system that uses CNN techniques. The model gathers real-time data from IoT devices and processes it on a secure server using CNN architecture that is optimal for speed and accuracy. Data security systems use measures such as end-to-end encryption and anomaly detection to safeguard information while it is in transit or storage. Performance in terms of accuracy, latency, and attack resistance is improved, according to a comparative research that includes current models. Security and efficiency are ensured in several more domains by extending the proposed strategy to include smart homes, healthcare, and law enforcement.