[ad_1]

Introduction

With the advancement of technology, smart parking systems have become increasingly popular to effectively manage parking spaces in urban areas. Edge Artificial Intelligence (AI) has emerged as a promising technology to optimize the efficiency of smart parking systems by allowing data processing and decision-making to occur at the edge of the network, closer to the source of data. This thesis presents a comprehensive study on the application of Edge AI in smart parking systems, aiming to improve parking management and enhance user experience.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review
2.1 Introduction to smart parking systems
2.2 Overview of Edge AI technology
2.3 Previous studies on smart parking systems
2.4 Benefits and challenges of using Edge AI in parking systems
2.5 Comparison of different Edge AI algorithms
2.6 Edge computing in smart parking systems
2.7 Integration of IoT and AI in parking management
2.8 Case studies on Edge AI applications in parking systems
2.9 Future trends in smart parking technology
2.10 Summary of literature review

Chapter 3: System Design and Methodology
3.1 System architecture of Edge AI for smart parking systems
3.2 Data collection and preprocessing techniques
3.3 Edge AI algorithms selection and optimization
3.4 Integration of Edge AI with IoT devices
3.5 Testing and validation methodologies
3.6 Performance evaluation metrics
3.7 Ethical considerations in deploying Edge AI in parking systems
3.8 Implementation challenges and solutions

Chapter 4: System Implementation
4.1 Installation and configuration of hardware components
4.2 Development of Edge AI models
4.3 Integration of Edge AI with smart parking infrastructure
4.4 Real-time data processing and decision-making
4.5 User interface design and optimization
4.6 System testing and validation
4.7 Performance evaluation and analysis
4.8 Scalability and future enhancements

Chapter 5: Conclusion and Summary
5.1 Summary of findings
5.2 Contributions to the field
5.3 Future research directions
5.4 Conclusion

Thesis Overview on Edge AI for Smart Parking Systems

The proposed thesis focuses on the application of Edge AI in smart parking systems to optimize parking management and enhance user experience. The introduction provides a background of the study, problem statement, objectives, limitations, scope, and significance of the research. The literature review covers essential topics such as smart parking systems, Edge AI technology, previous studies, benefits, challenges, algorithms, and future trends. The system design and methodology chapter detail the system architecture, data collection methods, AI algorithm selection, testing methodologies, and ethical considerations. The system implementation chapter outlines the hardware installation, AI model development, integration, and performance evaluation. The conclusion recaps the findings, contributions, future research directions, and concludes the thesis.

[ad_2]

---

Purchase Detail

Download the complete project materials to this project with Abstract, Chapters 1 – 5, References and Appendix (Questionaire, Charts, etc), Click Here to place an order via whatsapp. Got question or enquiry; Click here to chat us up via Whatsapp.
You can also call 08111770269 or +2348059541956 to place an order or use the whatsapp button below to chat us up.
Bank details are stated below.

Bank: UBA
Account No: 1021412898
Account Name: Starnet Innovations Limited

The Blazingprojects Mobile App

Download and install the Blazingprojects Mobile App from Google Play to enjoy over 50,000 project topics and materials from 73 departments, completely offline (no internet needed) with monthly update to topics, click here to install.