Design and Implementation of an Iot-Enabled Smart Doorbell with Real-Time Face Recognition and Full- Duplex Audio Communication

This project proposes a Smart Doorbell System using an way communication, Face recognition. ESP32-CAM that integrates face detection, face recognition,real-time alerts, and remote interaction for enhanced home security.The camera continuously monitors the entrance and captures images whenever a visitor appears. These images are processed by a recognition module that compares detected faces with a user manageddatabase. If the visitor is a known person, the system either suppressesnotifications or sends a simple message to the user containing the identifiedperson's name. If the visitor is unknown, an instant alert with their capturedimage is sent to the user's mobile device. The system also supports live videostreaming and two-way audio communication, enabling users to interactwith visitors remotely. Secure communication protocols ensure safe datatransfer and privacy. This project demonstrates an efficient combinationof embedded vision, IoT communication, and smart home automation,offering a reliable and user-friendly door security solution.