Image Region Attribute Recharacterization for Accurate ADA Readouts
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Solution Overview
Problem
Existing systems struggle to accurately read documents with multiple stylistic formats and attribute layers, leading to incomplete and/or incorrect readouts for individuals with disabilities, which can result in comprehension issues and disregard of important information.
Innovation Solution
A system utilizing machine learning algorithms to recharacterize attributes in individual portions of images, generating ADA-compliant content by evaluating and generating American with Disabilities Act (ADA) responses in real-time, and training ML models to streamline the generation of ADA-compliant content using generative adversarial networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional services are used to read documents with multiple stylistic formats and attribute layers, then the system is simpler to operate, but the reading accuracy and completeness deteriorate
Solution Approach 1:
The patent segments the document processing task by dividing the document into multiple portions or regions, each with its own dominant style characteristics. The system analyzes each segment separately to determine the predominant style attributes (such as font type, size, color, formatting) and generates corresponding ADA content for each segment. This segmentation approach enables accurate handling of complex multi-styled documents without requiring a single monolithic processing system, thereby improving reading accuracy while managing system complexity through modular processing.
2Measurement precision
If machine learning algorithms are used to generate ADA content from complex documents, then the reading accuracy improves, but the processor and memory usage increases
Solution Approach 1:
The patent applies partial action by generating ADA content selectively for specific portions of the document rather than processing the entire document uniformly. The system identifies regions with complex or non-standard styling and generates ADA content primarily for those areas, while simpler regions may use standard reading services. This partial processing approach maintains high reading accuracy for critical content while reducing overall processor and memory usage compared to comprehensive document-wide ML processing.
3Measurement precision
If iterative generation of ADA content with user feedback is used, then the content accuracy improves, but the time required increases
Solution Approach 1:
The patent implements preliminary action by pre-processing the document to identify and categorize different style regions before generating ADA content. The system performs initial analysis to determine dominant styles in various document portions, pre-structures the content segmentation, and prepares style attribute mappings in advance. This preliminary processing reduces the need for multiple iterative cycles with user feedback, as the foundational structure is already optimized, thereby improving ADA content accuracy while minimizing the time required for generation.
Data Source
AI summary
An apparatus comprises a memory communicatively coupled to a processor. The processor is configured to generate a tag for a portion of peripheral information, determine a correlation between the peripheral information and the tag and execute a machine learning algorithm in response to determining that an amount of information preserved is outside an accuracy tolerance to determine at least one difference between the peripheral information and the communication information, evaluate the at least one difference against historical data associated with the network device, determine multiple tagging commands based on an evaluation of the at least one difference against the historical data and modify the tag to incorporate the possible modifications, and generate a portion of the communication information based on the portion of the peripheral information in accordance with a modified version of the tag and transmit the portion of the communication information to the network device.