Date of Publication :15th December 2024

Abstract: Communication barriers faced by individuals with severe impairments necessitate innovative solutions. To address this, an advanced system for Morse code detection using eye blink recognition has been developed, utilizing OpenCV and dlib libraries. The system captures real-time video to track and identify eye movements, employing facial landmark detection to precisely determine eye states. By calculating the Eye Aspect Ratio (EAR), it effectively distinguishes between intentional blinks and natural eye closures, converting these into Morse code. The generated Morse code is then translated into text, providing a user-friendly communication tool. Designed for robustness, the system performs reliably under various lighting conditions and adapts to individual blinking behaviors, ensuring a seamless and accessible communication interface

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