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Design and Implementation of an Automatic Car Plate Number Recognition System

DESIGN AND IMPLEMENTATION OF AN AUTOMATIC CAR PLATE NUMBER RECOGNITION SYSTEM


CHAPTER ONE

1.1 Introduction

Vehicle plate number registration is the registration of a motor vehicle identification number with a government authority, either compulsory or otherwise. Motor vehicle national plate numbering which involves registration of vehicles as part of its process is the allocation of an identification mark to a vehicle by serially numbering of motor vehicles. As much as there is need for sanity to be maintained on roads, motor vehicle national plate numbering becomes of necessity in traffic matters for identification purpose.

In as much as motor vehicle national plate numbering has been in existence for ages now, the old system of numbering had been in adoption which did not play a significant role highway safety until the development of the new system of plate numbering where a reflective sheeting which is more visible to read even in the dark, special alphabetic codes are allocated to each vehicle which distinguishes the vehicle from any other vehicle throughout the whole federation, thereby creating some measure of uniqueness in such vehicle.

As a prelude to other parts of this study, this chapter will discuss the background upon which this study was initiated, the statement of problems that led to this study, the Aim and Objectives of the study. Others are Significance of the study, Scope of work, Limitation of the study and Definition of technical terms.


1.2 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.


1.3 Statement of Problem

Investigation revealed that 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 that human 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.


1.4 Aim and Objectives of the Study

The aim of the study is to design and implement an automatic car plate number recognition system. In achieving this aim, the following specific objectives were laid out as follows to design and develop an application software that will:

  1. Ensure quick collection of data about vehicles within the scope of study;
  2. Serve as a repository for car plate numbers already registered;
  3. Assist law enforcement agencies in tracking stolen vehicles;
  4. Create a responsive system for crime detection; and
  5. Restriction of illegal user access to the car plate number recognition system.

1.5 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 enters 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.

  1. 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.

  1. 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.


1.6 Scope of the Study

The scope of this research is focused on the Designs and Implementation of Automatic Car Plate Number Recognition System. The proposed system will automate the process of National Plate Number (NPN) registration and daily tax payment by vehicle owners.


1.7 Limitations of the Study

During the course of this study, many things militated against its completion, some of which are:

  1. Time Constraint: The time frame given to accomplish this project was very short due to school academic calendar and it was carried out under pressure which made the researcher not to implement some necessary features.
  2. Establishment Policies: Establishment policies posed a serious limitation as most staffs are not ready to release information needed for this project work. There were lots of information needed from the staffs of this institution to enhance the study which took them time to release or they did not release at all for security purposes, hence the scope was reduced.
  3. Research material: availability of research material is a major setback to the scope of the study.
  4. Frequent power failure: This made the researcher append more money on fuel to ensure sustainable power.
  5. Financial Constraint: Insufficient fund tends to impede the efficiency of the researcher in sourcing for the relevant materials, literature or information and in the process of data collection (internet).

1.8 Definitions of Terms

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.

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.

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.

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.

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.

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.

Auto Theft:

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


CHAPTER TWO

2.0 Literature Review

2.1 Introduction

The review of relevant literature is the main topic of this chapter. A literature review covers theoretical and methodological contributions to a certain issue in addition to the state of knowledge at the time of writing. It provides information about the state of the art in relation to the subject you are writing about. It examines the body of work on the chosen subject. The literature evaluation in this study comprises the …


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TABLE OF CONTENTS

PRELIMINARY PAGES


CHAPTER ONE

INTRODUCTION


    • 1.1 Introduction
    • 1.2 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
    • 4.7.1 System Testing
    • 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”


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