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@article{176686,
        author = {M. NISHITHA SAGAR and KAVADAPU NITHYA and K. SUBBA NAIDU and K. PREMKUMAR ASHIK and Mr. P. SATISH CHANDRA},
        title = {Anti-Spoofing / Liveliness Detector using Image Processing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {7996-8000},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176686},
        abstract = {This project presents a cost-effective anti-spoofing face recognition system for laptop security, leveraging an Arduino microcontroller, a relay module, and a standard webcam. The system aims to mitigate vulnerabilities associated with traditional face recognition by incorporating liveness detection to prevent spoofing attacks using printed photos or videos. The Arduino processes image data captured by the webcam, implementing a combination of algorithmic techniques to analyze facial features and detect potential spoofing attempts. Upon successful liveness verification and face recognition, the Arduino activates the relay, which in turn grants access to the laptop, such as by simulating a key press or controlling a power circuit. If spoofing is detected or face recognition fails, access is denied, and a potential alert can be triggered. This approach provides a practical, hardware-based security enhancement that can be integrated with existing laptop systems, offering a balance between security and affordability.},
        keywords = {Arduino UNO, Relay, Camera},
        month = {May},
        }