A Comprehensive Analysis of Blockchain Applications for Securing
  Computer Vision Systems
Ramalingam M Chemmalar Selvi Nancy Victor Rajeswari Chengoden Sweta Bhattacharya Praveen Kumar Reddy Maddikunta Duehee Lee Md. Jalil Piran Neelu Khare Gokul Yendri Thippa Reddy Gadekallu
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.