Smart juicer 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, resulting in suboptimal user satisfaction and health benefits.
Innovation Solution
A smart juicer system equipped with a weight sensor, image sensor, processor, clock, user interface, and communication module that collects data on ingredient input, juice extraction time, and user intake, allowing for personalized recipe generation and continuous calibration based on user health and vitality information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a conventional juicer uses only basic components (blade, motor, user interface, driving MICOM), then the device complexity is low and ease of manufacture is high, but the capability to collect and process data for customized recipes is insufficient
Solution Approach 1:
The juicer is enhanced with multiple sensors (weight sensor, image sensor) and processing capabilities, transforming it from a simple juice extraction device to a multi-functional system that can identify ingredients, measure weights, capture images, and generate customized recipes based on user health data
Solution Approach 2:
A server acts as an intermediary between the juicer and the user's terminal device. The server receives ingredient data from the juicer, processes it along with user health information, and generates optimized recipes, distributing the computational burden and enabling sophisticated customization without overloading the juicer's onboard processor
2Adaptability or versatility
If the juicer collects and processes various data (ingredient weight, image, user health information), then personalized recipe generation capability is improved, but the loss of time for data collection and processing increases
Solution Approach 1:
User health information (vitality, condition data) is pre-collected and stored in the terminal device or server before juicing sessions. This eliminates the need to gather this data during each juicing operation, allowing the system to quickly generate personalized recipes using pre-existing user profiles combined with real-time ingredient data
3Reliability
If the juicer provides customized recipes based on big data about effectiveness, then user health benefits and satisfaction are improved, but the device complexity and information processing requirements increase
Solution Approach 1:
The system continuously monitors user responses to customized recipes and uses this feedback to refine and optimize future recipe recommendations. By analyzing effectiveness data and user responses over time, the system learns and adapts, improving reliability of health benefits while distributing processing complexity across multiple components and sessions
Data Source
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AI summary
Disclosed is a smart juicer system and an operating method thereof, the smart juicer system including: a juicer (10) 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 user terminal (20) including a user interface (21) for receiving an input about whether a user drinks green vegetable juice, a communication module (22) for data communication with the juicer, and a terminal processor (25) 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.