GuardianVision Smart Vehicle Access Control

GuardianVision is a smart vehicle access control system designed to detect vehicles and individuals, allowing security personnel to monitor and manage access to restricted areas in real-time. With just a click, users can restrict access beyond specified boundaries and receive alerts when unauthorized access is detected.🚨🛡️

Installation

Ensure you have the required packages installed:

pip install opencv-python==4.8.1
pip install ultralytics==8.2.2

Usage

1. Clone the repository:

git clone https://github.com/MUHAMMAD-FARMAN/GuardianVision-Smart-Vehicle-Access-Control.git
cd GuardianVision-Smart-Vehicle-Access-Control

2. Run main.ipynb using jupyter notebook

Configuration

Line Configuration

Modify the following variables in the code to adjust the line position:

# Define the start and end points of the line (x, y)
start_point = (1000, 0)
end_point = (1000, 720)

Using YOLOv9

If you want to use YOLOv9 instead of YOLOv8, follow these steps:

1. Replace the model instantiation line in the code:

   # Load the YOLOv8 model
   model = YOLO('yolov8n.pt')

   with:

   # Load the YOLOv9 model
   model = YOLO('yolov9c.pt')

2. Save the changes and run the Python script again.

Now, your project will utilize YOLOv9 for object detection and tracking.

Features

• Real-time detection and tracking of vehicles and individuals.
• Click-based access restriction beyond specified boundaries.
• Alarm sound upon unauthorized access.

Dependencies

• OpenCV - Wrapper package for OpenCV Python bindings.
• Ultralytics - YOLOv8 for object detection and multi-object tracking

License

This project is licensed under the MIT License - see the LICENSE file for details.