Software Implementation of an Automatic Car Plate Number Recognition System

PRELIMINARY PAGES

• Title page
• Approval page
• Dedication
• Acknowledgement
• Table of Contents
• Abstract

CHAPTER ONE

INTRODUCTION

• 1.1 Background …
• …

CHAPTER TWO

LITERATURE REVIEW

• 2.1 Introduction
• …

CHAPTER THREE

SYSTEM ANALYSIS AND DESIGN

• 3.1 Methodology Adopted
• 3.1.1 Problem Identification Using SSADM
• 3.2 Analysis of the Existing System
• 3.2.1 Dataflow of the Existing System
• 3.2.2 Disadvantages Of The Existing System
• 3.2.3 Weakness of the existing System
• 3.3 Feasibility Study
• 3.3.1 Economic Feasibility
• 3.3.2 Technical Feasibility
• 3.3.3 Operational Feasibility
• 3.4 Analysis of the Proposed System
• 3.4.1 Data Flow Diagram of the Proposed System
• 3.4.2 Advantages of the Proposed System
• 3.4.3 Justification of the Proposed System
• 3.5 Functional Requirements
• 3.5.1 Use Case Diagram Of The Admin / User Privileges
• 3.6 Data Requirements
• 3.7 High Level Model of the Proposed System

CHAPTER FOUR

SYSTEM DESIGN AND IMPLEMENTATION

• 4.1 Objectives of the Design
• 4.2 Cohesion and Decomposition High level Model
• 4.3 Control Center / Overall Dataflow Diagram
• 4.3.1 Proposed System Operation Flowchart
• 4.4 System Specification and Design
• 4.4.1 Input and Output Specification
• 4.4.2 Database Specification and Design
• 4.4.3 Data Dictionary
• 4.5 Choice and Justification of Programming Language
• 4.6 Program Documentation
• 4.7 Implementation Techniques
• 4.8 Programming Module Specification
• 4.8.1 Installation
• 4.9 Computer Hardware Minimum Requirement
• 4.10 Software Requirement
• 4.11 Personnel / User Training
• 4.12 File Maintenance Module

CHAPTER FIVE

SUMMARY, CONCLUSION AND RECOMMENDATION

• 5.1 Introduction
• 5.2 Summary
• 5.3 Conclusion
• 5.4 Recommendation

References

Appendix A - Source Code

Appendix B - Object Program

Introduction

1.1 Background of Study

Massive integration of information technology into all aspects of modern life caused demand for processing vehicles as conceptual resources in information systems. Because a standalone information system without any data has no sense, there was also a need to transform information about vehicles between the reality and information systems. This can be achieved by a human agent, or by special intelligent equipment which is able to recognize vehicles by their number plates in a real environment and reflect it into conceptual resources. Because of this, various recognition techniques have been developed and car plate recognition systems are today used in various traffic and security applications, such as parking, access and border control, or tracking of stolen cars.

A vehicle registration plate is a metal or plastic plate attached to a motor vehicle for official identification purposes. The registration identifier is a numeric or alphanumeric code that uniquely identifies the vehicle within the issuing region’s database. In some countries, the identifier is unique within the entire country, while in others it is unique within a state or province. Whether the identifier is associated with a vehicle or a person also varies by issuing agency. Depending on the country, the vehicle registration plate may be called a license plate, tag, car plate or number plate. Most governments require a registration plate to be attached to both the front and rear of a vehicle, although certain jurisdictions or vehicle types, such as motorboats, require only one plate, which is usually attached to the rear of the vehicle. National databases relate this number to other information describing the vehicle; such as the make, model, color, year of manufacture, engine size, type of fuel used, Vehicle Identification (Chassis) Number, and the name and address of the vehicle’s registered owner or keeper.

The term access control refers to the practice of restricting entrance to a property, a building, or a room to authorized persons. Physical access control can be achieved by a human (a guard, bouncer, or receptionist) through mechanical means such as locks and keys, or through technological means such as access control systems.

Automatic car plate recognition (ACPR) is a mass surveillance method that uses optical character recognition on images to read vehicle registration plates. They can use existing closed-circuit television or road-rule enforcement cameras, or ones specifically designed for the task. They are used by various police forces and as a method of electronic toll collection on pay-per-use roads and cataloging the movements of traffic or individuals.

ACPR can be used to store the images captured by the cameras as well as the text from the license plate, with some configurable to store a photograph of the driver. Systems commonly use infrared lighting to allow the camera to take the picture at any time of the day. ACPR technology tends to be region-specific, owing to plate variation from place to place.

The software aspect of the system runs on standard home computer hardware and can be linked to other applications or databases. It first uses a series of image manipulation techniques to detect, normalize and enhance the image of the car plate, and then optical character recognition (OCR) to extract the alphanumeric of the license plate. ACPR systems are generally deployed in one of two basic approaches: one allows for the entire process to be performed at the lane location in real-time, and the other transmits all the images from many lanes to a remote computer location and performs the OCR process there at some later point in time. When done at the lane site, the information captured of the plate alphanumeric, date-time, lane identification, and any other information required is completed in approximately 250 milliseconds. This information can easily be transmitted to a remote computer for further processing if necessary, or stored at the lane for later retrieval. In the other arrangement, there are typically large numbers of PCs used in a server farm to handle high workloads. Often in such systems, there is a requirement to forward images to the remote server, and this can require larger bandwidth transmission media.

During the 1990s, significant advances in technology took automatic car plate recognition systems from limited expensive, hard to set up, fixed based applications to simple “point and shoot” mobile ones. This was made possible by the creation of software that ran on cheaper PC based, non-specialist hardware that didn’t require the pre-defined angles, direction, size and speed in which the plates would be passing the cameras field of view.

1.2 Statement of Problem

Over the years, vehicles have been used to perpetrate crimes such as robbery and kidnapping. Auto theft has also been a major issue to the nation.

Law enforcement agencies are increasingly adopting automated car plate recognition (ACPR). ACPR systems function to automatically capture an image of the vehicle’s license plate, transform that image into alphanumeric characters using optical character recognition or similar software, compare the plate number acquired to one or more databases of vehicles of interest to law enforcement and other agencies, and to alert the officer when a vehicle of interest has been observed. The automated capture, analysis, and comparison of vehicle license plates typically occur within seconds, alerting the officer almost immediately when a wanted plate is observed.

Although the ACPR term includes a specific reference to “automated,” it should be noted thathuman intervention is needed insofar as the officer monitoring the equipment must independently validate that the ACPR system has accurately “read” the license plate, that the plate observed is issued from the same state as the one in which it is wanted, and to verify the currency of the alert, i.e., verifying that the reason this vehicle or the owner was wanted or of interest is still valid. Technologies to enhance their enforcement and investigative capabilities, expand their collection of relevant data, and expedite the tedious and time-consuming process of manually comparing vehicle license plates with lists of stolen, wanted, and other vehicles of interest has to be developed. Police officers, sheriff deputies, and other law enforcement practitioners are often on the lookout for vehicles that have been reported stolen, are wanted in connection with a crime or traffic violation, are suspected of being involved in criminal or terrorist activities, are parking violation scofflaws, have failed to maintain current registration or to comply with statutory insurance requirements, or any of a number of other legitimate reasons.

1.3 Aim and Objectives of Study

The aim of this research work is to develop an application that will provide access control through automated car plate recognition.

The objectives of this study are as follows;

1. To assist law enforcement agencies in tracking stolen vehicles
2. To design a database that will serve as a repository for car plate numbers already registered.
3. To design a responsive system for crime detection
4. To ensure quick collection of data about vehicles within the scope of study.

1.4 Significance of Study

The proposed system will be of great advantage to Rivers state law enforcement agency, Rivers State Internal Revenue Service and other relevant authorities in the following ways;

1. ACPR can assist the police to identify persons of interest associated with criminal activity.

According to a recent article, auto theft is associated with a wide range of criminal activities, including the offences of break and enter, armed robbery, and drug-related offences. In other words, offenders steal cars for use in the commission of additional offences. For example, drug offenders may steal from within cars, but may also steal the car to raise money to purchase drugs.

2. Improved Performance and Efficiency:

There is no comparison between the number of plates an officer on patrol entering license plate information manually into an onboard computer and the number that automated ACPR technology can handle. With the potential ability to read up to 3,000 plates an hour, this technology can improve productivity. Not only does the system read plates rapidly, but hits are collected only on vehicles displaying license plates that match the desired criteria and appear in the database.

3. Increased Crime Detection:

The substantially larger number of vehicles pulled over as a result of ACPR technology in patrol cars means that officers will come face to face with more criminals, generating more arrests. Officers attached to ACPR teams make 10 times more arrests than non-ACPR members. Arrests that are the result of ACPR stops are primarily for vehicle crimes, robbery, theft, burglary, and drug offenses. It is well known that car thieves steal cars not just to go for a drive but to help them commit other crimes such as breaking and entering, robbery, home invasion, and drug trafficking. In this way, ACPR technology can be valuable in preventing or solving many types of crime plaguing society.

1.5 Scope of Study

Every project is carried out to achieve a set of goals with some conditions keeping in mind that it should be easy to use, feasible and user friendly. As the goal of this project is to develop an application that will provide access control through automated car plate recognition, this system will be designed keeping in mind the conditions (easy to use, feasibility and user friendly) stated above. The proposed project’s intended users are; Rivers State Law enforcement agencies, Rivers State Internal Revenue Service and other relevant agencies.

1.6 Definition of Terms

1. Optical character recognition (OCR):

This is the mechanical or electronic conversion of images of typewritten or printed text into machine-encoded text. It is widely used as a form of data entry from printed paper data records. It is a common method of digitizing printed texts so that it can be electronically edited, searched, stored more compactly, displayed on-line, and used in machine processes such as machine translation, text-to-speech, key data and text mining. OCR is a field of research in pattern recognition, artificial intelligence and computer vision.

2. Automatic Car Plate Recognition (ACPR):

This is a mass surveillance method that uses optical character recognition on images to read vehicle registration plates. They can use existing closed-circuit television or road-rule enforcement cameras, or ones specifically designed for the task.

3. Surveillance:

This is the monitoring of the behavior, activities, or other changing information, usually of people for the purpose of influencing, managing, directing, or protecting them. This can include observation from a distance by means of electronic equipment (such as CCTV cameras), or interception of electronically transmitted information using no, low or high technology methods.

4. Car Plate:

A vehicle registration plate is a metal or plastic plate attached to a motor vehicle for official identification purposes. The registration identifier is a numeric or alphanumeric code that uniquely identifies the vehicle within the issuing region’s database.

5. Automation:

This is the use of various control systems for operating equipment such as machinery, processes in factories, boilers and heat treating ovens, switching in telephone networks, steering and stabilization of ships, aircraft and other applications with minimal or reduced human intervention. Most processes today have been completely automated.The biggest benefit of automation is that it saves labor; however, it is also used to save energy and materials and to improve quality, accuracy and precision.

6. Access Control:

In the fields of physical security and information security, access control is the selective restriction of access to a place or other resource. The act of accessing may mean consuming, entering, or using. Permission to access a resource is called authorization. Locks and login credentials are two analogous mechanisms of access control.

7. Auto theft:

Motor vehicle theft is the criminal act of stealing or attempting to steal a car (or any other motor vehicle).

Account Details - For USSD / POS Transfer

Account Name: Sparklyn Services Account No: 1222599051 Account Type: Current Bank Name: Zenith Bank PLC

Proposal Writing Format under Computer Science

Design and Implementation of an Automatic Car Plate Number Recognition System is a proposal topic for final year research work, which comprises the major and elective project proposal writing sections for Design and Implementation of an Automatic Car Plate Number Recognition System research work.

Major Sections

• Motivation for Embarking on the Project

• Brief Background of Study

• Statement of Problems

• Aim of the Study

• Specific Objectives of the Study

• Significance of the Study (Who benefits from the project and how?)

Elective Sections

• Methodology and Reason for Using It (such as; models, SSADM, or OOADM)

• Tools (programming languages and software used)