Smart juicer system for green vegetable juice and operating method thereof
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Solution Overview
Problem
Conventional juicers lack the capability to collect and process data effectively, which limits their ability to provide customized green vegetable juice recipes and personalized health management, leading to suboptimal user satisfaction and health benefits.
Innovation Solution
A smart juicer system that includes a juicer with image and weight sensors for ingredient identification, a terminal processor for data communication and user interface, and a server for generating and updating personalized recipes based on user data, health conditions, and intake history, enabling continuous calibration and optimization of juice recipes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional juicer hardware and software are used, then the juicer can make green vegetable juice, but it lacks the capability to collect and process data effectively for customization
Solution Approach 1:
The patent introduces an external server as an intermediary to handle data collection, processing, and recipe generation. The juicer communicates with the server via communication module, transferring user data and receiving processed recipe recommendations. This mediator approach allows the juicer to gain advanced customization capabilities without bearing the full complexity of data processing internally.
Solution Approach 2:
The juicer system is enhanced with multiple functional modules including image sensor for ingredient identification, weight sensor for measurement, communication module for data exchange, and user interface for interaction. These additional components transform a simple juicing device into a multi-functional smart system that can identify ingredients, track usage, communicate with external systems, and provide personalized recommendations.
2Ease of operation
If the juicer collects and processes user data for personalized recipes, then user satisfaction and health benefits improve, but device complexity increases
Solution Approach 1:
The server acts as an intermediary that handles the complex tasks of data collection, processing, and recipe generation. The juicer's communication module transfers raw user data to the server, which then processes this data and returns optimized recipe recommendations. This distribution of computational complexity allows the juicer to provide personalized services without requiring extensive internal processing capabilities.
Solution Approach 2:
The system implements continuous feedback loops where user data is collected, processed into recipe recommendations, executed by the user, and then fed back for further analysis. The server uses this feedback to continuously optimize and personalize recipes, improving ease of operation over time while maintaining manageable device complexity through the intermediary server architecture.
3Measurement precision
If image and weight sensors are added for ingredient identification, then recipe accuracy improves, but device complexity and cost increase
Solution Approach 1:
The patent combines multiple sensing modalities (image sensor and weight sensor) into an integrated ingredient identification system. The image sensor captures visual characteristics of ingredients while the weight sensor measures their mass, and both data streams are merged and processed together to achieve accurate ingredient identification and recipe formulation, thereby improving measurement precision through sensor fusion.
Solution Approach 2:
The server acts as an intermediary that receives and processes data from both image and weight sensors. Rather than requiring the juicer to independently process complex sensor data, the system transfers raw sensor inputs to the server, which then performs sophisticated analysis and returns processed results, reducing the burden on the juicer's internal processing capabilities while maintaining high identification accuracy.
Data Source
AI summary
A smart juicer system includes: a juicer configured to make green vegetable juice by extracting juice from input ingredients, and generate juice extraction information including at least one of time information about the juice extraction, identification information about the input ingredients subjected to the juice extraction, a recipe based on the juice extraction, or making conditions of the juice extraction; and a terminal processor including a user interface for receiving an input about whether a user drinks green vegetable juice, a communication module for data communication with the juicer, and a terminal processor configured to generate information about the user's intake history of green vegetable juice based on the intake information and the juice extraction information obtained from the juicer through the communication module.