A real-time finger counter using MediaPipe and OpenCV

Real-time finger counter using Deep Learning technology (Pytorch + OpenCV)

The Hand Finger Counter project is a real-time hand detection system that counts the number of raised fingers using OpenCV and MediaPipe. The program captures video from a webcam, detects hand landmarks, and uses a simple logic to determine how many fingers are raised.

This project is an advanced webcam finger counter using MediaPipe and OpenCV. It offers real time finger detection an animated cursor fingertip highlights and clean visual stats. It is ideal for gesture control research computer vision experiments and interactive UI projects in Python.

A real-time computer vision system that segments the hand using background subtraction and convex hull geometry to accurately count raised fingers via a webcam feed.

No description available

Real-Time Finger Counter Implementation using OpenCV

Real-time finger counter using OpenCV and MediaPipe Hands

A real-time fingers counter using Python, OpenCV, and Mediapipe.

Real-time Finger Counter using OpenCV & MediaPipe that detects both hands, identifies left/right, and counts fingers.

A high-performance real-time finger counter using OpenCV and MediaPipe with frame-skipping optimization.

Hand finger counter using OpenCV and MediaPipe Hands. Detects hand landmarks and shows how many fingers are up in real time.

Real-time finger counter (0–10) web app with webcam & photo upload using Python, Flask, OpenCV & MediaPipe

A simple AI project to count fingers using OpenCV and MediaPipe. Hand tracking and finger counter application built with Python. Finger counter project using computer vision and Mediapipe library. Real-time finger counting system with hand detection.

A simple AI project to count fingers using OpenCV and MediaPipe. Hand tracking and finger counter application built with Python. Finger counter project using computer vision and Mediapipe library. Real-time finger counting system with hand detection.

Real-time hand gesture finger counter using Python, OpenCV and MediaPipe. Supports left and right hands and counts fingers from 0 to 5 via webcam.

🐙 Real-time finger counter app using webcam, OpenCV and MediaPipe with a sleek Streamlit UI. Detects up to 2 hands and shows live finger counts.

Real-time hand gesture finger counter using OpenCV and MediaPipe, sending data via serial communication to an Arduino to control LEDs.

This repository contains a real-time finger counter developed using OpenCV and MediaPipe. Detects hand gestures via webcam and dynamically counts the number of fingers shown.

Real-Time Finger Counter is a computer vision project that detects and counts fingers using a webcam. Built with Python, OpenCV, and MediaPipe, it tracks hand landmarks to identify raised fingers and display the count in real time.

Simple finger counter project using Python, MediaPipe, and OpenCV. The system detects a single hand from the webcam and counts the number of raised fingers in real time

This project is a Finger Counter built using OpenCV. The model detects a hand in the frame and counts the number of fingers being held up, displaying the count in real time.

This project is a real-time hand and finger counter implemented using OpenCV in Python. The program captures video from a webcam or a video file, processes each frame to detect hand contours, and counts the number of fingers raised. The results are displayed on the video feed in real-time.

Developed a gesture-based control system enabling real-time volume adjustment using the distance between index finger and thumb. Integrated a finger-based digit counter and hand gesture recognition (e.g., peace sign, open palm, fist). Built using Python, OpenCV, and MediaPipe for efficient gesture tracking.

VisionBot is a Python-based voice-controlled bot using OpenCV, MediaPipe, and SpeechRecognition. It performs real-time tasks like Air Canvas, Finger Counter, and Face Detection through voice commands, showcasing AI-driven human–computer interaction.

🤖 AI Hand Tracking & Finger Counting (0-10) using MediaPipe + OpenCV Real-time finger counting system with beautiful UI design. Features single/dual hand support and Mac M4 compatibility. 🚀 Quick Start: cd opencv && source mediapipe_env/bin/activate && arch -x86_64 python3 hand_counter_ai.py © 2025 Polat Sakarya - All Rights Reserved

The Robotic arm finger counter is a smart system designed to recognize the number of fingers shown by a human hand in real-time using computer vision (openCV in python) and reflect the count by moving the fingers of a robotic hand (controlled by Arduino and servo motors). This project combines hardware control with AI-Based image processing.

Hand Gesture Volume Control : Python project using OpenCV, MediaPipe, and Pycaw to adjust system volume with hand gestures. Detects thumb–index finger distance in real-time, maps it to volume level, and displays a live volume bar and FPS counter.