A step-by-step guide to creating a real-time finger counting application using OpenCV and MediaPipe's hand tracking capabilities. The system detects hand landmarks, counts raised fingers, and displays
results on live video feed, with potential applications in gaming, sign language recognition, and human-computer interaction.
Reasons to Read -- Learn:
how to implement real-time hand gesture recognition using pre-built solutions, saving significant development time compared to building from scratch
how to combine OpenCV and MediaPipe for creating interactive computer vision applications, with complete working code that processes live video feed
practical implementation of finger detection algorithms using landmark positions, which can be extended to more complex gesture recognition systems
publisher: @iamramzan
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