Vehicle Number Plate Detection and Billing

Vehicle tracking system aiding factory billing system and security

Keywords: computer vision, vehicle 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 feature of the project:

  • 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 in this project:

  • Yolo-V5 model for vehicle detection and logging
  • Automatic number plate extraction system using yolo-v5
  • FastAPI with Docker based microservices and MS SQL Server logging and billing. Language/Framework: Python 3.9, PyTorch



Simple illustration of the project

Truck Project

N.B: The code for this project can’t be made public for propritory reasons

Collaborators:

1. Sifat Ibn Amin
2. Hasan Zahirul Islam