Intelligent Parking System with Face & License Plate Recognition

This project implements a smart parking system that automates vehicle entry and exit using AI. It utilizes YOLO for license plate detection and a face recognition library to verify driver identity, ensuring secure and efficient parking management.

🔍 Features

• License Plate Detection using YOLO algorithm
• Character Recognition for license plate text
• Face Recognition for driver identity verification
• Barrier Gate Control that opens only when face and plate match
• High Accuracy:
  • License Plate Detection: 91.86% (IOU: 74.15%)
  • Character Recognition: 95.8% (IOU: 81.25%)

🛠 Technology Stack

✅ Libraries & Frameworks

• Python 3.6.9
• PyMata 2.20 (for Arduino communication)
• NumPy 1.19.4
• Matplotlib 2.1.1
• OpenCV (GPU) 4.5.5
• face_recognition 1.2.3
• Tkinter 8.6 (GUI)
• Pillow (PIL) 8.4.0
• MySQL 8.0

⏱ Performance

• Computation Time:
  • Google Colab: 4.85 seconds
  • Jetson Nano: 37.69 seconds

🚀 How to Run

1. Clone this repo:

   git clone https://github.com/yourusername/intelligent-parking-system.git

2. Install dependencies (example using pip):

pip install numpy==1.19.4 matplotlib==2.1.1 opencv-python==4.5.5.64 face_recognition==1.2.3 Pillow==8.4.0 pymata==2.20 mysql-connector-python

3. Run main program:

python main.py

📄 Publication

This project is published in JTERA (Jurnal Teknologi Rekayasa) 📖 Read the publication here