Control Laptop Mouse Cursor with Hand Gestures | OpenCV & MediaPipe Python Tutorial

Unlock the power of hand gesture recognition to control your laptop mouse cursor effortlessly! In this step-by-step tutorial, learn how to use **OpenCV** and **MediaPipe** with **Python** to track your hand movements and manipulate the mouse pointer without touching your device.

🔹 **What you'll learn:**
- Setting up OpenCV and MediaPipe for hand tracking
- Detecting and interpreting hand gestures
- Mapping hand gestures to mouse cursor movements
- Writing Python code to integrate gesture control seamlessly

Whether you're a beginner or an intermediate Python programmer, this video will guide you through creating an innovative, touch-free mouse control system using computer vision techniques.

---

### Why watch this video?
- Hands-on coding demo with clear explanations
- Practical application of AI and computer vision
- Enhance your projects with gesture-based controls
- Perfect for robotics, automation, and accessibility solutions

---

### Tools & Libraries Used:
pictoblox
- OpenCV
- MediaPipe
- pyautogui (for mouse control)

---

🔔 **Subscribe** for more exciting tutorials on Python, AI, and computer vision
👍 **Like** this video if you found it helpful!
💬 **Comment** below if you have questions or want to share your project ideas!

---

Hand gesture mouse control Python

AI virtual mouse OpenCV

MediaPipe hand tracking tutorial

Python hand gesture recognition

Control mouse with hand gestures AI

OpenCV MediaPipe mouse control

Gesture controlled virtual mouse Python

AI mouse control with webcam

Hand gesture computer control Python

MediaPipe hand gesture mouse project

Python OpenCV MediaPipe hand tracking

Virtual mouse using hand gestures Python

Hand gesture automation Python

AI computer vision mouse control

Python code for gesture mouse control

#HandGestureControl #OpenCV #MediaPipe #PythonTutorial #MouseControl #ComputerVision #GestureRecognition #TechTutorial

---
full code:

sprite = Sprite('Tobi')
import cv2
import mediapipe as mp
import pyautogui

# Setup
cap = cv2.VideoCapture(0)

while True:

# Convert to screen coordinates

# Visual pointer

break