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@article{189661,
        author = {Pawar Anushka Pandurang and More Snehal Sanjay and Pagar Tanishka Manoj and Thakare Tanishka Jaywant and Mr. S.T.Patil},
        title = {Face Recognition Door Lock System Using Raspberry Pi},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {6716-6719},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189661},
        abstract = {The Face Recognition Door Lock System using Raspberry Pi is designed to provide a secure, intelligent, and contactless access control solution for homes and offices. This system replaces traditional lock-and-key mechanisms with facial recognition technology, enhancing security and user convenience. The system identifies authorized individuals by analyzing facial features and grants access automatically without physical interaction.
In this system, a camera connected to the Raspberry Pi captures the image of a person attempting to access the door. The captured image is processed using image processing and face recognition algorithms, such as Haar Cascade and Local Binary Pattern Histogram (LBPH). If the detected face matches the stored dataset, the Raspberry Pi triggers a relay module to unlock the door. If the face is not recognized, access is denied and an alert can be generated.
The proposed system improves safety, reduces unauthorized access, and eliminates risks associated with lost or duplicated keys. It is especially useful in residential buildings, offices, and restricted areas. The system is cost-effective, easy to implement, and can be further enhanced with features such as mobile notifications and cloud integration.
Overall, the Face Recognition Door Lock System demonstrates the effective use of embedded systems and artificial intelligence to create a reliable and smart security solution for modern environments.},
        keywords = {},
        month = {December},
        }