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Intelligent Prison Management Automation System

Intelligent Prison Management Automation System

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ACKNOWLEDGEMENT

I am profoundly grateful to everyone who contributed to the successful completion of this project. I am especially grateful to my Supervisor (Name), the Head of Department (Name), and the Lecturers in the Department of Software Engineering for their invaluable guidance and support. I also acknowledge the contributions of authors and scholars whose works on Intelligent Prison Management Automation System provided essential insights. Special thanks go to my study area (and any funding organizations, if applicable) for their financial assistance. I am equally thankful to stakeholders, including mentors, teachers, and colleagues, for their encouragement and support. Finally, I deeply appreciate my family and friends for their patience and unwavering support throughout this journey. Your contributions have been instrumental in making this research a reality.



TABLE OF CONTENTS

PRELIMINARY PAGES

CHAPTER ONE

INTRODUCTION

  • 1.1 Introduction
  • 1.2 Background of Study
  • 1.3 Statement of Problem
  • 1.4 Aim and Objectives of the Study
  • 1.5 Significance of Study
  • 1.6 Scope of Study
  • 1.7 Limitations of the Study
  • 1.8 Definition of Terms

CHAPTER TWO

LITERATURE REVIEW

  • 2.1 Introduction
  • 2.2 Conceptual Review
  • 2.3 Theoretical Framework
  • 2.4 Overview of Prison Management Systems
  • 2.5 Existing Automated Prison Management Systems
  • 2.6 Challenges in Prison Management
  • 2.7 Technological Advancements in Prison Management
  • 2.8 Advantages of Prison Management System
  • 2.9 Disadvantages of Prison Management System
  • 2.10 Empirical Studies

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
  • 4.8.2 Security Design Specification
  • 4.8.3 System Architecture
  • 4.9 Computer Hardware Minimum Requirement
  • 4.10 Software Requirement
  • 4.11 Personnel / User Training
  • 4.12 File Maintenance Module
  • 4.13 Discussion of Findings

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”


CHAPTER ONE

1.1 Introduction

An intelligent system refers to technology that uses AI and machine learning to process large amounts of data, make decisions, and adapt to changing circumstances with minimal human intervention. These systems improve the functionality of automated processes by offering predictive analytics and advanced data management (Jones & Harris, 2019). The management of prisons has long been a complex and resource-intensive process, often plagued by inefficiencies, security risks, and human error. An Intelligent Prison Management Automation System (IPMAS) seeks to revolutionize the way correctional facilities are administered by integrating modern technologies such as artificial intelligence (AI), biometric identification, and data automation. This system aims to streamline administrative processes, improve security protocols, and enhance the rehabilitation and monitoring of inmates.

Automated prison management systems enable real-time data monitoring, prisoner tracking, and automated scheduling for inmate activities and security checks. As prisons grow in size and inmate populations increase, the need for efficient, secure, and transparent systems becomes more pressing. Intelligent systems can significantly reduce human involvement in daily operational tasks, allowing correctional staff to focus on more critical areas such as rehabilitation and inmate welfare. According to Smith (2020), prison automation is a key factor in modernizing the criminal justice system, ensuring that facilities operate in compliance with international human rights standards.

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.

…

CHAPTER TWO

LITERATURE REVIEW

2.1 Introduction

This chapter focuses on the review of related literature. A literature review includes the current knowledge as well as theoretical and methodological contributions to a particular topic. It documents the state of the art with respect to the topic you are writing. It surveys the literature in the topic selected. In this research work the literature review includes the conceputal review, theoretical framework, the review of related literature …

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