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Full Description
The text discusses the intrinsic vulnerabilities in traditional computer vision systems, such as data tampering and adversarial attacks, and illustrates how blockchain's decentralized and immutable ledger can mitigate these risks. Moreover, the book will examine the role of proxy smart contracts in implementing security protocols and ensuring data integrity within computer vision approaches.
Discusses the integration of emerging technologies such as blockchain and generative artificial intelligence for computer vision applications with service scenarios. • Explores existing secure solutions for computer vision applications with blockchain and advanced technologies.
Explains the fusion of Blockchain and machine learning techniques for intrusion detection in computer vision.
Covers real-world computer vision applications, such as smart healthcare, smart parking, and smart education, with secure environments as case studies.
Examines security and privacy challenges in computer vision applications, discussing mitigation procedures, regulatory frameworks, and ethical contemplations crucial for protecting individuals' rights.
The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer vision, artificial intelligence, and computer engineering. .
Contents
1. Computer Vision: Introduction and Objective. 2. Latest Trends in Blockchain, Generative Artificial Intelligence, and Computer Vision. 3. Layered Architecture of Computer Vision Neural Networks. 4. Blockchain and Generative Artificial Intelligence: Fundamentals and Consensus Mechanism. 5. Convergence of Internet of Things Integration for Enhancement of Computer Vision Capabilities. 6. Security and Privacy Issues in Computer Vision Applications. 7. Solutions for Secure Computer Vision Infrastructure. 8. Blockchain's Motivation with Computer Vision Applications. 9. Convergence of Computer Vision Applications and Generative Artificial Intelligence for Enhancement. 10. Security and Privacy Considerations in Blockchain-based Computer Vision. 11. Blockchain-based Secure Intelligent Architecture for Computer Vision Applications. 12. Fusion of Emerging Technologies for Computer Vision Beyond Advanced Communication Medium. 13. Machine Learning-based Distributed Techniques for Intrusion Detection in Computer Vision. 14. Service Scenarios of Advanced Secure Computer Vision Applications. 15. The Future of Computer Vision: Opportunities, Requirements, Open Issues. 16. Fusion of Emerging Technology for Secure Environment in Computer Vision Applications. 17. Global Case Studies: Integrating Blockchain, Artificial Intelligence, and Computer Vision Across Diverse Sectors.
