Smart Tableware Weight Sensing for Automated Nutrition Tracking
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Solution Overview
Problem
Current systems lack a practical and seamless way to monitor, manage, and recommend optimal food and water intake for humans and animals, making it difficult to track caloric consumption and adjust based on individual characteristics, leading to health issues like obesity and undiagnosed health problems.
Innovation Solution
A smart system that uses connected devices and AI to measure, analyze, and recommend food and water intake based on physical characteristics, activity levels, and real-time data, providing personalized recommendations and alerts for optimal nutrition and hydration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual tracking of food and water intake is used, then no additional devices are needed, but it is difficult to track and understand consumption accurately
Solution Approach 1:
The smart tableware system performs automatic tracking of food and water consumption without requiring user intervention. Weight sensors continuously monitor intake, and the system automatically calculates caloric content and tracks consumption patterns, eliminating the need for manual recording while providing precise measurement.
Solution Approach 2:
The patent replaces manual tracking methods with electronic sensing and automated computing systems. Weight sensors, microcontrollers, and software algorithms substitute for human effort in tracking consumption, providing both accuracy and ease of use simultaneously.
2Adaptability or versatility
If detailed tracking of consumption is implemented, then personalized recommendations can be made, but it requires significant effort from the individual to monitor
Solution Approach 1:
The system automatically collects consumption data, analyzes nutritional content, and generates personalized recommendations without requiring the user to manually input information. The smart tableware self-monitors food and water intake, calculates caloric values, and provides tailored advice based on individual profiles.
Solution Approach 2:
The system continuously monitors consumption and provides real-time feedback through alerts, notifications, and personalized recommendations. This automated feedback loop enables adaptation to individual needs without requiring active monitoring effort from the user.
3Speed
If real-time monitoring and analysis is performed, then immediate recommendations can be provided, but it requires complex processing of large amounts of data
Solution Approach 1:
The patent employs electronic sensors, microcontrollers, and software algorithms to automatically capture, process, and analyze consumption data in real-time. This substitution of manual processes with automated systems enables rapid response while managing data processing complexity through specialized computing hardware and algorithms.
Solution Approach 2:
The system introduces intermediate processing layers including weight sensors that convert physical measurements to electrical signals, microcontrollers that preprocess data locally, and software algorithms that analyze patterns. These intermediaries break down complex processing into manageable stages, enabling real-time recommendations.
4Measurement precision
If connected devices are used to track consumption, then accurate measurement is possible, but it increases device complexity
Solution Approach 1:
The smart tableware system integrates multiple functions into a single device: weight sensing for measurement, data processing for analysis, communication for data transmission, and user interface for interaction. This multi-functionality reduces the need for separate devices while maintaining measurement precision.
Solution Approach 2:
The patent combines weight sensors, microcontrollers, communication modules, and user interface elements into an integrated smart tableware system. By merging these components into a unified device, the system achieves accurate measurement without proportionally increasing overall system complexity.
Data Source
AI summary
A smart apparatus system includes one or more food and liquid smart tableware apparatuses that each have a processor, memory, and a weight sensor. The smart apparatuses communicate with a cloud server and one or more caretaker computing devices. The caretakers can input physical information for the user including weight. The smart apparatus system can determine the healthy weight range for the user and determine a recommended feeding schedule. The smart apparatus system can remind the caretakers to feed the user, monitor the quantity of food and liquid that are placed in the smart tableware apparatuses and the consumption of the food and water by the user and transmit reports to the caretaker's computing device(s). The smart tableware apparatus system can maintain the recommended feeding schedule to keep the user within the healthy weight range or adjust the feeding schedule to bring the user's weight within the healthy weight range.