Design and Implementation of Blockchain-Enabled Immutability Mechanism for Enhanced Machine Visual Data Integrity

Abstract

In the realm of Machine Vision, the progress in cinematography and image processing has empowered computers to comprehend images and videos. Cameras and infrared (IR) technology have become nearly omnipresent, facilitating the acquisition of crucial information about individuals and their surroundings. They are applied across various sectors, including high-security access, biometric cards, and modern surveillance systems embedded in the Internet of Things (IoT) ecosystem. However, an issue arises with the surge in information and its dissemination, raising concerns regarding safety, confidentiality, and secure storage as these systems interact with others, potentially leading to problems. To tackle these challenges, experts in computer vision are exploring the integration of blockchain technology. This article presents an overview of blockchain applications in computer vision, encompassing biometrics, video surveillance, and the sharing of image and video data. The objective is to demonstrate how blockchain could augment the safety, privacy, and reliability of these applications. The paper also delves into the tools and methodologies contributing to these goals, shedding light on prospective developments. Essentially, this review seeks to furnish clear insights into the collaboration between blockchain and computer vision. It achieves this by examining the latest advancements, existing challenges, and opportunities for leveraging visual data in a blockchain-driven environment. Ultimately, the focus is on understanding how these technologies can harmonize to influence the future landscape of Machine Vision.