Smart Cart Heterogeneous Data Processing for Dietary Tracking
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Solution Overview
Problem
Users face challenges in tracking and maintaining healthy eating habits due to the manual and burdensome process of monitoring food intake and adherence to dietary plans, which often requires consulting professionals or using software that is time-consuming and cumbersome.
Innovation Solution
A network system integrating smart virtual shopping cart functionality that processes heterogeneous data streams to monitor and manage user food intake, providing warnings and recommendations to help users meet their dietary goals by evaluating the nutritional value of food items and suggesting substitutes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually track and monitor their food intake using software applications, then they can monitor their dietary progress, but the process becomes tedious and cumbersome requiring significant time and effort
Solution Approach 1:
The system enables automatic dietary tracking without manual user intervention. The smart cart automatically captures food purchase data, the image processing system automatically identifies food items from images, and the system automatically calculates nutritional information, eliminating the need for users to manually log their food intake while maintaining tracking accuracy
Solution Approach 2:
The patent replaces the manual mechanical process of food logging with automated systems including image capture devices, image processing algorithms, and automatic nutritional database matching. This substitution eliminates the tedious manual entry process while preserving dietary monitoring capabilities
2Reliability
If users consult physicians, dietitians, and health professionals to monitor dietary adherence, then they can ensure proper diet plan following, but the cost of time and expense becomes prohibitive
Solution Approach 1:
The system empowers users to independently monitor and evaluate their dietary adherence through automated analysis. The system compares user consumption data against dietary goals, automatically generates compliance reports, and provides feedback without requiring professional intervention, making reliable dietary monitoring accessible without time or expense barriers
Solution Approach 2:
The patent introduces an automated intermediary system that acts as a mediator between dietary goals and user behavior. The system includes automated feedback mechanisms, compliance evaluation algorithms, and recommendation engines that provide professional-level dietary monitoring and guidance without requiring actual professional consultation
3Measurement precision
If users rely on software applications requiring manual research and entry of nutritional information, then they can track their diet, but the process becomes neglected and ineffective
Solution Approach 1:
The system performs automatic nutritional information extraction and tracking without user effort. The image processing system automatically identifies food items, the system automatically queries nutritional databases, and automatically calculates and stores nutritional data, eliminating the need for users to conduct research or perform manual entry while maintaining precise tracking
Solution Approach 2:
The patent replaces the manual research and entry process with automated image recognition technology, automatic database querying systems, and algorithmic nutritional calculation. This substitution makes the system extremely easy to operate while preserving accurate nutritional information tracking
Data Source
AI summary
A network service or application can receive dietary goals or conditions for a user or group of users. The network can determine threshold dietary amounts that users can receive over a predetermined time period to satisfy the goals or conditions. The network can monitor user consumption over the predetermined time period by collecting data from heterogeneous data streams (e.g., data associated with different structures, data types, types of data store, sources, processing rates, etc.), processing the data, storing the data using a distributive processing framework, and exposing optimized views into the data to provide smart virtual shopping cart functionality. The network can evaluate user consumption and food items placed into a virtual shopping cart to determine whether purchasing the items satisfy the thresholds, and if not, issue warnings, provide recommendations for substitute food items, and/or take other appropriate actions.