Home Security System (Face Recognition)

A Home Security System using Face Recognition leverages machine learning and computer vision to identify and verify individuals entering a home. The system captures images or video of individuals through cameras installed at entry points and uses facial recognition algorithms to compare these images with a pre-registered database of family members or authorized individuals. If an unrecognized face is detected, the system can trigger an alarm or send an alert to the homeowner. The system utilizes libraries like OpenCV and Python for image processing and facial recognition algorithms, providing a high level of security for home entry points. The use of face recognition ensures that only authorized individuals can enter the home, preventing unauthorized access. The system can also be enhanced with additional features, such as door lock automation, where the door automatically unlocks when an authorized person is detected. Additionally, the system can integrate with a smartphone app, enabling users to monitor and control access remotely. The implementation of this system provides an advanced solution for securing homes, especially in environments where traditional security measures, such as key-based entry, might not be as secure. The system can also store a log of recognized individuals and attempted access, which can be reviewed in case of any security concerns.