Health Data Extraction via Optical Image Analysis
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Solution Overview
Problem
Existing health monitoring systems for infectious diseases like COVID-19 have limited reach due to the requirement of smartphone and wearable devices, which not everyone can afford, and they fail to ensure user privacy and data security.
Innovation Solution
A system incorporating a display unit, color code detection unit, image filter, optical character recognition unit, and elimination unit that uses RGB color analysis and threshold values to extract user health information from images, ensuring data security and compatibility with hardware for widespread use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If smartphone and wearable devices are used for health monitoring, then health information can be collected and analyzed, but the system becomes inaccessible to people who cannot afford these devices
Solution Approach 1:
The patent uses image copying technology to capture health information from display screens. Instead of requiring direct connection to medical devices or smartphones, the system creates visual copies of health data through camera imaging, making the technology accessible through basic imaging devices that are more widely available
Solution Approach 2:
The patent replaces complex mechanical and electronic systems (smartphone sensors, wearable device hardware) with an optical imaging system. By substituting electronic data extraction with optical image capture and processing, the system becomes accessible to users with simpler, more affordable devices
2Reliability
If comprehensive health data is collected and stored, then better health monitoring is achieved, but user privacy and data security risks increase
Solution Approach 1:
The patent extracts only the necessary health information from the displayed data and processes it locally through image analysis. By taking out only the essential health parameters needed for monitoring and processing them through the image filter and recognition units, the system minimizes data storage requirements and associated security risks
Solution Approach 2:
The patent introduces an intermediary image processing system that acts as a buffer between the health data display and the analysis system. The image filter unit, color code detection unit, and optical character recognition unit serve as intermediaries that process visual information without requiring direct access to or storage of sensitive personal health data
3Measurement precision
If advanced image processing with multiple color analysis is implemented, then health information extraction accuracy improves, but system complexity increases
Solution Approach 1:
The patent segments the image processing task into distinct functional units: color code detection unit for identifying health status colors, image filter unit for noise reduction and enhancement, and optical character recognition unit for text extraction. This segmentation allows each unit to perform its specific function with optimized simplicity while maintaining high overall accuracy
Solution Approach 2:
The patent applies different processing qualities to different parts of the image based on their informational value. The color code detection unit focuses on specific colored regions indicating health status, the image filter unit applies selective filtering to enhance relevant features, and the optical character recognition unit processes only text-bearing areas, optimizing precision without uniformly increasing complexity across the entire system
Data Source
AI summary
A system and a method for smart information recognition for user health identification are disclosed. The system and the method comprise a display unit, a color code detection unit, an image filter, an optical character recognition unit, a code detection unit and an elimination unit. The display unit contains a user information. The color code detection unit is associated with the display unit to split at least one of the user information by analyzing at least three colors in an image. The image filter detects at least one of the user's information. Further, the optical character recognition unit recognizes a text of the user information. The code detection unit detects an image code and the elimination unit is used for eliminating a binary object that is close to an image border. The proposed system and method ensure complete security to prevent abuse of an individual's personal information.