Traditional door lock systems have long relied on methods such as physical keys, passwords, RFID cards, and ID cards for security, but these approaches are prone to risks like loss, theft, or duplication. To mitigate these vulnerabilities, biometric systems have emerged. Among these, face detection has gained prominence due to its reliability, stability, and non-intrusive nature. This project focuses on implementing face detection using the ESP32 CAM module as the primary authentication mechanism. During enrollment, users provide facial images that serve as references for subsequent authentication attempts. The system captures and compares faces during unlock attempts, granting access upon a match. Additionally, a password mechanism is integrated to accommodate non-registered individuals.