Finger counter using hand tracking.Be learning project based upon computer vision
In this video, I’m presenting my Computer Vision & Deep Learning project called Finger Counter using Hand Tracking.
This project works in real-time using a webcam. It detects a human hand, identifies the fingers, and displays the exact finger count on the screen instantly.
The project is built using OpenCV for video processing and MediaPipe, which provides a powerful pre-trained deep learning model for hand landmark detection.
🔍 What This Project Does
Captures live video from a webcam
Detects hand in real-time
Identifies finger landmarks
Counts raised fingers accurately
Displays the count instantly on screen
🧠 Deep Learning Concepts Used
Computer Vision
Hand Landmark Detection
Pre-trained Models
Real-time Inference
Transfer Learning
⚠️ Note: No custom dataset is used.
MediaPipe already provides a pre-trained model trained on millions of hand images by Google researchers.
🎯 Why This Project Is Useful
Beginner-friendly Computer Vision project
Great introduction to real-time AI systems
Useful for gesture control, AR/VR, and HCI applications
Ideal for students learning AI, ML, and OpenCV
📚 Resources & References #ai #challenge #laddugopal #bash #expressionchallenge #love
🔗 OpenCV Official Website
🔗 OpenCV Documentation
🔗 MediaPipe Hands Documentation
🔗 MediaPip
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