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A computer vision project for detecting lane lines in road images using image processing techniques

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🚦 LaneLineDetection

📝 Description

AI-powered computer vision system for autonomous driving. Uses image processing, edge detection, and lane detection to enhance road safety. Built with Python, OpenCV, and NumPy.

Features

Lane Detection 🛣️ using Hough Transform
Edge Detection 📏 with Canny algorithm
Image Processing 🎨 (Blurring, Thresholding, ROI masking)
Optimized Pipeline ⚡ for real-time processing
Modular & Scalable 🛠️ architecture

🛠️ Tech Stack

🔹 Programming: Python 🐍
🔹 Libraries: OpenCV 📷, NumPy 🔢, Matplotlib 📊
🔹 Concepts: Computer Vision 👁️, Image Processing 🎞️

🚀 Installation

git clone https://github.com/gvelasque/lane_detection.git
cd LaneLineDetection
pip install -r requirements.txt

▶️ Usage

python
main.py

🎯 Example

📥 Input Image | 📤 Output Image

Input Image Output Image

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A computer vision project for detecting lane lines in road images using image processing techniques

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