The ML Based Face Detection and Door Opening System provides secure access control using facial recognition technology. A camera captures facial images, which are processed by a Single Board Computer (SBC). Machine learning algorithms verify authorized users and automatically unlock the door upon successful recognition. The system eliminates the need for physical keys or cards. This project uses an SBC, camera module, ML algorithms, control mechanisms, and embedded programming, making it suitable for smart home and security applications.
Department
Electronics and Communication Engineering
Type
major
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