https://github.com/kunalmehra075/finger-counter-opencv
A simple yet powerful AI-powered tool that counts how many fingers you're holding up using your webcam in real time! Built with Python, OpenCV, and MediaPipe, this project is a great starting point for learning gesture recognition.
https://github.com/kunalmehra075/finger-counter-opencv
computer-vision cv2 finger-counter fingercounter fingers handtracking linkedin mediapipe opencv python pythonprojects webcam
Last synced: 4 months ago
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A simple yet powerful AI-powered tool that counts how many fingers you're holding up using your webcam in real time! Built with Python, OpenCV, and MediaPipe, this project is a great starting point for learning gesture recognition.
- Host: GitHub
- URL: https://github.com/kunalmehra075/finger-counter-opencv
- Owner: KunalMehra075
- Created: 2025-05-16T15:14:54.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-05-17T10:15:35.000Z (5 months ago)
- Last Synced: 2025-06-17T08:07:38.967Z (4 months ago)
- Topics: computer-vision, cv2, finger-counter, fingercounter, fingers, handtracking, linkedin, mediapipe, opencv, python, pythonprojects, webcam
- Language: Python
- Homepage:
- Size: 15.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# ✋ Finger Counter — OpenCV + MediaPipe Project
A simple yet powerful AI-powered tool that counts how many fingers you're holding up using your webcam in real time!
Built with **Python**, **OpenCV**, and **MediaPipe**, this project is a great starting point for learning gesture recognition.
## 🖼 Demo
## 🎯 What It Does
This project detects your hand and counts the number of fingers you're showing (from 0 to 5) using real-time webcam input.
It then displays the finger count on the screen with a live overlay.
## 🚀 Features
✅ Real-time finger counting with **MediaPipe**
✅ Displays the current number of fingers held up (0–5)
✅ Detects both left and right hands
✅ Easy to use — no setup beyond your webcam
✅ Great for learning computer vision basics!
---
## 🧠 What You'll Learn
- How to use **MediaPipe Hands** to detect hand landmarks
- How to identify which fingers are up based on joint positions
- Drawing UI overlays with OpenCV
- Real-time computer vision interaction with Python
## 🔧 Getting Started
### How to run:
1. **Install the required dependencies, globlally or by creating a virtual environment:**
```bash
pip install -r requirements.txt
```
2. **Run the application:**
```bash
python virtualMouse.py
```
## 📍Dependencies
- OpenCV
- MediaPipe
- Numpy
#### Buy me a coffee 🥹:
Contributions are welcome! 🙏 If you have any ideas for improvements, feel free to submit a pull request.\
Follow me for more exciting projects like this! 🤩