Web-based online embedded door access control and home security system based on face recognition

Home security has become an important concern due to the increasing need for reliable and intelligent access control systems. This paper presents a Web-Based Online Embedded Door Access Control and Home Security System Based on Face Recognition that provides secure entry management and real-time intrusion detection. The proposed system utilizes a Raspberry Pi as the central controller and a USB camera to capture and analyze facial images of individuals approaching the door. Face recognition technology is employed to verify the identity of authorized users.A DC motor controlled through a motor driver acts as the door mechanism and opens automatically when an authorized face is successfully recognized. An ultrasonic sensor is used to detect the presence and distance of a person near the entrance. If an unknown or unauthorized individual is detected, the system immediately activates a buzzer and a red LED to generate audio and visual alerts. Simultaneously, a notification containing the security status and captured information is transmitted to the homeowner through Telegram for remote monitoring and instant response. The web-based interface enables users to monitor and manage the system online. By integrating face recognition, automated door control, intrusion detection, and real-time notifications, the proposed system enhances home security, improves access control reliability, and provides a cost-effective solution for smart home environments.