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@article{201823,
        author = {Keerthana R and Nithin S and Prema S and M Sreenath Reddy and Dr. Shruthi M},
        title = {A Survey on multimodal face- voice authentication system},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {4642-4647},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201823},
        abstract = {This work explain about a smart security system that uses both face and voice recognition for user authentication. The main aim is to improve security and make the system more reliable than normal single biometric methods. Different AI techniques, cameras and microphones are used to identify users and allow secure access. This survey reviews various systems used in smart homes, attendance systems, banking and security applications. From the reviewed papers, it is understood that combining face and voice recognition gives better accuracy and reduces unauthorized access. Some challenges like lighting problems, background noise and fake image attacks still affect system performance. Future improvements can focus on improving accuracy, security and system speed in real-time applications.},
        keywords = {Smart AI Robot, Face Recognition, Voice Recognition, Human-Robot Interaction, Live Streaming, Computer Vision, Natural Language Processing, Security System, Deep Learning, Real-time Processing},
        month = {May},
        }