MORSE CODE BASED SECURED AUTHENTICATION SYSTEM THROUGH ARTIFICIAL INTELLIGENCE

The Morse Code Based Secured Authentication System through Artificial Intelligence introduces a contactless and adaptive approach to user authentication by integrating facial recognition, eye-blink detection, and Morse code decoding. Traditional security methods often require physical interaction, making them difficult or inaccessible for users with disabilities and vulnerable to observation or theft. The proposed system addresses these challenges by verifying identity through face recognition and then requiring a secondary blink-based Morse password. An OTP layer is also included when an unknown user attempts login, ensuring stronger authentication. The system was implemented and tested successfully, showing high accuracy in real-time face detection, blink capture, and Morse decoding. This work demonstrates that combining AI with traditional Morse communication can deliver an innovative, secure, and accessible authentication model suitable for smart, medical, and high-security environments.