Intelligent Endoscopy System with AI-Powered Image Analysis and Blockchain-Based Data Storage

The present inventive concept integrates an imaging unit with AI-powered image processing, blockchain-based data storage, and decentralized IoT network technologies to create a secure, efficient, and accurate system for capturing and analyzing in-vivo images.

The original patent, 'Imaging unit and endoscope', provided a novel imaging unit design for endoscopes. However, it did not address the limitations of data security, analysis, and sharing in medical and industrial applications. The present inventive concept solves these problems by introducing AI-powered image analysis, blockchain-based data storage, and decentralized IoT network integration.

The inventive concept comprises an imaging unit, an AI-powered image processing module, a blockchain-based data storage module, and a decentralized IoT network. The imaging unit captures an in-vivo image and transmits the image data to the blockchain-based data storage module, which stores the image data securely and immutably. The AI-powered image processing module analyzes the image data to detect abnormalities. The decentralized IoT network enables secure and efficient data sharing and analysis. The system can be further integrated with new material-based display devices for enhanced visualization.

The new claims introduce the synergistic combination of AI-powered image analysis, blockchain-based data storage, and decentralized IoT network integration with the original imaging unit design, providing a novel and non-obvious solution for secure, efficient, and accurate in-vivo image analysis and sharing.

Alternative embodiments may include integrating the imaging unit with other AI-powered modules, such as machine learning-based disease diagnosis or computer vision-based image enhancement. Variations may include using different blockchain protocols or decentralized IoT network architectures.

The inventive concept has significant commercial potential in the medical and industrial fields, enabling secure, efficient, and accurate in-vivo image analysis and sharing. Target industries include medical device manufacturing, healthcare services, and industrial inspection.