Item Analysis System Using Image and Voice Recognition for Health Data Extraction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods fail to provide a seamless and easy way for consumers to identify health-promoting or disease-provoking items, track consumption, and correlate with physical activity, due to complex ingredient labeling and lack of integration across food, cosmetics, and household products, leading to difficulties in making informed choices about health and wellness.
Innovation Solution
A system using image recognition, voice recognition, and bar code scanning on computing devices to analyze items by recognizing their composition, providing users with information on ingredients, nutritional data, and health impacts, allowing customization based on individual preferences and needs, and enabling seamless tracking of food and physical activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If consumers manually read and interpret ingredient labels to identify health-promoting or disease-provoking items, then they can obtain information about product composition, but the process becomes time-consuming and difficult due to complex labeling and numerous ingredient names
Solution Approach 1:
The patent replaces the manual mechanical process of reading and interpreting labels with an automated optical recognition system. The system uses an image sensor to capture label images and automatically processes them through image recognition and optical character recognition to extract ingredient information, eliminating the need for consumers to manually decode complex labeling.
Solution Approach 2:
The patent introduces an intermediary processing system between the consumer and the product information. This system includes a processor that acts as a mediator, translating complex ingredient labels into simplified health-related information about disease-promoting or protective effects, making the information accessible without requiring consumer expertise in interpreting ingredient names.
2Adaptability or versatility
If consumers manually track food consumption and physical activity separately, then they can maintain health records, but the system becomes complex and difficult to maintain integration between food and activity data
Solution Approach 1:
The patent creates a universal health management system that can handle multiple functions through a single integrated platform. The system既可以track food consumption by analyzing labels,既可以track physical activity through sensors,又可以 correlate these data to assess health impacts, eliminating the need for separate tracking systems.
Solution Approach 2:
The patent merges previously separate tracking systems into a single integrated system. Food consumption data from label analysis is combined with physical activity data from sensors, and both are processed together to provide comprehensive health assessments, simplifying the user experience while maintaining data integration.
3Measurement precision
If the system analyzes every ingredient label in detail to provide comprehensive health information, then accuracy of health assessment is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent extracts only the most relevant health information from complete ingredient labels. Rather than analyzing every ingredient in detail, the system identifies and extracts key ingredients or ingredient groups that have significant health impacts, providing accurate health assessments without processing unnecessary information.
Solution Approach 2:
The patent applies partial analysis by focusing on the most critical ingredients that determine health impacts. The system performs sufficient analysis to accurately assess health-promoting or disease-provoking effects without conducting exhaustive analysis of every single ingredient, achieving the right balance between accuracy and efficiency.
Data Source
AI summary
System and method for analyzing components of one or more items at a time based on the analysis of image data and item component data and deciphering that data for the user. A user can use a computing device for item data input and the system recognizes or identifies items by image recognition, optical character recognition, voice recognition, typed query, barcode scan or a combination of those to analyze the item and return analysis of each item to the user's computing device through visual display, audible communication or a combination of both visual display and audible communication. System and method for analyzing items, recognizing or identifying the images of items, and analyzing the components of items is executed by referencing image databases, image recognition services, application program interfaces (APIs) and through machine learning to provide the user with analysis of items by processing the data that corresponds with those items.