Vehicle_detection_Counting_and_Speed_Estimation_using_openCV-YOLOv8

Vehicle Detection and Speed Estimation using OpenCV & YOLOv8

Overview

This project uses OpenCV and YOLOv8 to detect and track vehicles in a video feed, estimate their speed, and count the number of vehicles moving in different directions. The system processes frames from a video, identifies vehicles, tracks their movement across predefined lines, and calculates speed based on the time taken to cross a fixed distance.

Features

• Vehicle detection using YOLOv8
• Object tracking with a custom tracker
• Speed estimation of vehicles
• Counting vehicles moving up and down
• Frame-by-frame result saving and video output generation

Installation

To set up and run the project, follow these steps:

Prerequisites

Ensure you have Python 3.8+ installed. You also need to install the required dependencies.

Steps

# Clone this repository
git clone https://github.com/yourusername/vehicle-detection-opencv.git
cd vehicle-detection-opencv

# Install dependencies
pip install -r requirements.txt

# Download YOLOv8 model weights
wget https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8s.pt

Usage

Run the main script to process the input video:

python main.py

Input Video

Ensure that the video file (highway.mp4) is placed in the project directory. You can modify the script to use a different video file.

Project Structure

vehicle-detection-opencv/
│── detected_frames/    # Stores processed frames with detections
│── output.avi          # Processed output video
│── tracker.py          # Custom object tracking module
│── main.py             # Main script for vehicle detection & tracking
│── README.md           # Project documentation
│── requirements.txt    # List of dependencies
│── yolov8s.pt          # YOLO model weights

Results

The output will be displayed in real-time and saved as a processed video (output.avi). Frames with detected vehicles will be stored in the detected_frames/ directory.

Dependencies

This project requires the following Python libraries:

opencv-python
pandas
ultralytics

Install dependencies using:

pip install -r requirements.txt

Acknowledgments

• Ultralytics YOLO for object detection
• OpenCV for image processing

License

This project is licensed under the License. See LICENSE for details.

Contact

For any questions or issues, feel free to open an issue or contact me at 210886@kit.ac.in.

---

Author: Aditya Kumar GitHub: yourusername