Color Recognition Controller for Color Blindness Assistance
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Solution Overview
Problem
Individuals with color blindness face challenges in daily life, such as selecting matching clothes, identifying spoiled food, and enjoying visual entertainment, due to their inability to recognize certain colors.
Innovation Solution
A user device equipped with a controller that receives instructions and images, identifies colors, generates profiles, and performs analyses to assist users in color-related tasks, including selecting outfits and identifying food spoilage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a person has color blindness, then they cannot recognize certain colors, but this leads to difficulties in daily tasks such as selecting matching clothes, recognizing spoiled food, and enjoying visual entertainment
Solution Approach 1:
The patent introduces an intermediary system (mobile application with AI/ML algorithms) that acts as a mediator between the color-blind user and color-dependent tasks. The system captures images, processes them through machine learning models to identify colors and objects, and provides text-based descriptions or recommendations, thereby enabling users to complete tasks they would otherwise be unable to perform independently
Solution Approach 2:
The patent replaces the human visual system (which is impaired in color blindness) with an automated computational system. Instead of relying on the user's biological eyes and brain to perceive colors, the system uses image capturing devices combined with AI/ML algorithms to detect and interpret color information, substituting the mechanical/biological sensing mechanism with an electronic/computational one
2Measurement precision
If a user device performs comprehensive color analysis and provides detailed assistance, then the accuracy and helpfulness improve, but the device complexity and processing requirements increase
Solution Approach 1:
The patent uses copying by creating a simplified digital representation of the physical world through image capture. Instead of directly analyzing complex physical color properties, the system captures visual information as digital images and creates computational models (copies) of color data that can be processed more easily. This allows comprehensive analysis while reducing the complexity of direct physical measurement
Solution Approach 2:
The patent transforms color information from physical optical parameters to digital data parameters. By converting continuous color spectra into discrete digital color values and categories through image processing, the system enables sophisticated analysis while working with simplified data representations that reduce computational complexity
Data Source
AI summary
A user device can include a controller that is configured to: receive an instruction associated with a color of an object in a volume of space; receive an image comprising the object; identify a color of the object captured in the image; generate a profile based on the object and the color; perform an analysis of the color in a manner consistent with the profile and the instruction; and present results of the analysis.