Multiple layer security system to access encrypted secure IP streaming videos using matlab

Distinguishing one person's identity from another can be easily done by observing their facial features. Face recognition, a personal identification technique, analyzes physical characteristics to establish a person's identity. The process of recognizing faces in humans typically involves two stages: face detection, which is fast in most cases except when the object is close, and identification, which assigns specific individuals to the recognized faces. Subsequently, this process is replicated and developed into a facial image recognition model, commonly known as “face recognition.” This biometric technique has been extensively researched and developed by experts. In the proposed method, the person's identity is verified through a system's database using both face authentication and voice commands. If the person is confirmed as genuine, they are granted access to enter offices or homes. This approach proves beneficial for everyday scenarios involving office or home authentication, contributing to hassle-free automation. Moreover, this project facilitates secure access to restricted premises, reducing potential risks. The proposed method is implemented using Matlab simulator.