Design and Implementation of Fall Detection System

DEDICATION

This research material titled “Design and Implementation of Fall Detection System Based on Deep Learning and Image Processing in Cloud Environment” is dedicated to God for his enabling grace, and to all computer enthusiasts who contributed to make life a pleasant experience during my research documentation.

ACKNOWLEDGEMENT

I extend my sincere gratitude to all those who contributed to the completion of this project. Special thanks to my Supervisor (Name of your Supervisor), the Head of Department (Name of your HOD), the Lecturers in the department of Computer Science (CS), Book Authors and Profound Scholars of existing or related project material on “Design and Implementation of Fall Detection System Based on Deep Learning and Image Processing in Cloud Environment” for their invaluable guidance, support, and expertise throughout the journey.

I am also grateful to your study area (mention any funding organizations, if applicable) for their financial assistance. This research would not have been possible without the encouragement and assistance of some stakeholders (mention any mentors, teachers, or colleagues). Additionally, I would like to acknowledge the understanding and patience of my family and friends during this endeavor. Your unwavering support has been a constant source of motivation. Thank you all for being part of this meaningful endeavor.

TABLE OF CONTENTS

PRELIMINARY PAGES

Title page
Approval page
Dedication
Acknowledgement
Table of Contents
Abstract

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 of Image Processing
2.3 Theoretical Framework of Deep Learning in Cloud Environment
2.3.1 Image Processing Cloud System Environment
2.3.2 Cloud Infrastructure for Image Processing as Service
2.3.3 Image-based Cloud Platform
2.3.4 Image Processing Software as Service
2.3.5 Image Processing Cloud Computing reviewing Factors
2.3.6 Cloud Computing Impacts on Image Processing
2.4 Review of Related Literature

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
4.8.2 Security Design Specification
4.8.3 System Architecture
4.9 Computer Hardware Minimum Requirement
4.10 Software Requirement
4.11 Personnel / User Training

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”

Defense Procedure for Computer Science Researchers

Be Intentional About Your Research Preparation in Context – As a student of Computer Science defending a project or seminar on Design and Implementation of Fall Detection System Based on Deep Learning and Image Processing in Cloud Environment, you are expected to be thoroughly acquainted with your research. The defense process follows a structured format where you present your work, respond to questions, and demonstrate its relevance. Here’s a general guide to the defense procedure:

Introduction: Begin with a concise introduction of your research topic, highlighting its significance and the research objectives. This helps set the context for the audience and the External Examiner, allowing them to grasp the scope of your work. Before you step up to defend, ensure that you are familiar with your research abstract and the key components of Chapter One, including the motivation behind your study, the problem statement, the aims and objectives, as well as the scope and significance. For Chapter Two, it is advisable to reference at least two citations from the literature review. In Chapter Three, be prepared to discuss the methodologies, tools, and techniques you employed in your research. Moving to Chapter Four, you must justify your work and explain how your findings align with the objectives of your research.

Conclusion and Recommendations: Wrap up your defense by summarizing the study and offering well-grounded recommendations based on your findings.

Dress Code: Professional attire is an essential component of your final-year research defense. Wearing a suit and tie, for example, can create a positive impression and boost your overall presentation without you having to say a word.

Question and Answer Session: The External Examiner will ask questions based on your research. If you encounter a difficult or unrelated question, respond respectfully with, "Sorry, Sir/Madam, the question asked is beyond the scope of my study". Whenever possible, answer questions by referring directly to your research findings.

Design and Implementation of Fall Detection System Based on Deep Learning and Image Processing in Cloud Environment

DEDICATION

ACKNOWLEDGEMENT

TABLE OF CONTENTS

ABSTRACT