Vehicle Number Plate Detection and Billing

Vehicle Tracking System Aiding Factory Billing System and Security

Keywords: Computer Vision, Object Detection, Number Plate Detection

Brief Description

This project implements an intelligent vehicle monitoring system for business factories using CCTV footage. It leverages YOLO-V5 for vehicle detection and number plate extraction, integrating with a SQL database for automated rent vehicle billing and security logging.

Key Features:
  • Automatically detect incomming and outgoing vechicle in business factory from CCTV footage
  • Effectively extract number plate information of incoming and outgoing vehicle
  • Integrate with SQL database for automatically bill generation for rent vehicles
  • Database logging system for ensuring security of the factory and outlets.
Key Technologies Used:
  • YOLOv5 model for vehicle detection and logging
  • Automatic number plate extraction system using YOLOv5
  • FastAPI with Docker based microservices and MS SQL Server logging and billing.
  • Language/Framework: Python 3.9, PyTorch
Illustration:

The code for this project can’t be made public for proprietary reasons