Synergistic Visual System Characterization System

A comprehensive system integrating visual tests, machine learning, IoT, blockchain, and AI to provide personalized visual recommendations, optimize visual systems, and securely store response models.

The original patent disclosed a method and system for characterizing the visual system of a subject using measures of sensitivity to contrast. However, the patent's limitations included the lack of integration with other technologies to provide a more holistic approach to visual system characterization. The new inventive concept addresses this limitation by combining the patented method with AI, IoT, blockchain, and machine learning to create a more powerful and comprehensive system.

The Synergistic Visual System Characterization System comprises a visual test module, a machine learning module, and a blockchain-based storage module. The visual test module measures sensitivity to contrast, and the machine learning module analyzes the measured sensitivity to generate a response model of the visual system. The blockchain-based storage module securely stores the response model, enabling secure data sharing and collaboration. The system can be integrated with AI-powered recommendation systems, wearable devices, and IoT-based communication modules to provide real-time visual system characterization and personalized visual recommendations.

The new claims introduce the integration of the patented method with AI, IoT, blockchain, and machine learning, providing a novel and non-obvious solution for visual system characterization. The inventive step lies in the synergistic combination of these distinct technologies to create a more comprehensive and powerful system.

Alternative embodiments of the inventive concept could include the use of different machine learning algorithms, varying blockchain architectures, or integrating with other emerging technologies like augmented reality or 5G networks.

The Synergistic Visual System Characterization System has significant commercial potential in industries such as healthcare, education, and entertainment, where personalized visual recommendations and optimized visual systems can improve user experiences and outcomes.