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It is a part of AI, where CV is a field of AI, CV is a field of AI, where it derives meaningful information from images, videos, audios and function accordingly.
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By leveraging image processing techniques in it which provides touchless approach to control the media player.
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Replacing it with traditional methods like by using keyboard and mouse with CV as a field by enabling through hand-gestures to control the player.
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MODULES: OpenCV media pipe PY-auto GUI time
- OpenCV enables the camera to capture the hand gestures.
- Through media pipe ,it detects the hand landmarks and counts the raised fingers. And maps each finger to a specific media control.
- IN ORDER TO PREVENT THE MULTIPLE TRIGGERS, USED 📌1 SEC COOLDOWNNNNN
- Replacing the keyboard and the mouse with the hand gestures using py-auto GUI .
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Code is simple, which is in phyton programming language. We can even customize the code, in if-else conditions for assigning a particular finger to that particular function in the media player.
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APPLICATIONS: 🎥 1. Smart Media Control Hands-free media control for YouTube, VLC, Spotify, etc. Ideal for cooking, workouts, or gaming, where touching controls is inconvenient. 🚗 2. In-Car Entertainment Systems Gesture-based control for music, navigation, and calls in smart vehicles. Reduces distractions and improves road safety. 🏥 3. Healthcare & Surgery Rooms Surgeons can control instructional videos without touching surfaces. Helps maintain hygiene in hospitals and clean environments.