A Comprehensive Analysis of Blockchain Applications for Securing Computer Vision Systems

TL;DR

This paper reviews how blockchain can enhance security and data integrity in computer vision systems, exploring current research, challenges, and future directions for integrating these technologies across various sectors.

Contribution

It provides a comprehensive analysis of the integration of blockchain and computer vision, highlighting their combined potential, current research efforts, and open challenges.

Findings

Blockchain enhances security in CV systems

Decentralized image and video analytics are feasible

Identifies key challenges and future research directions

Abstract

Blockchain (BC) and Computer Vision (CV) are the two emerging fields with the potential to transform various sectors.The ability of BC can help in offering decentralized and secure data storage, while CV allows machines to learn and understand visual data. This integration of the two technologies holds massive promise for developing innovative applications that can provide solutions to the challenges in various sectors such as supply chain management, healthcare, smart cities, and defense. This review explores a comprehensive analysis of the integration of BC and CV by examining their combination and potential applications. It also provides a detailed analysis of the fundamental concepts of both technologies, highlighting their strengths and limitations. This paper also explores current research efforts that make use of the benefits offered by this combination. The effort includes how BC can be used as an added layer of security in CV systems and also ensure data integrity, enabling decentralized image and video analytics using BC. The challenges and open issues associated with this integration are also identified, and appropriate potential future directions are also proposed.