There are intrinsic vulnerabilities in traditional computer vision systems, such as data tampering and adversarial attacks. This book illustrates how blockchain's decentralized and immutable ledger can mitigate these risks. Further, it examines 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. Blockchain and Artificial Intelligence for Secure Computer Vision Technologies and Applications 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.
