Cooking appliance control method using artificial intelligence and system thereof
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Solution Overview
Problem
Existing cooking appliances lack the ability to automatically recognize ingredients and provide tailored cooking commands based on product information, leading to suboptimal cooking processes due to user reliance on time-oriented methods rather than ingredient-specific instructions.
Innovation Solution
A cooking appliance control method using artificial intelligence that performs vision recognition of the product to be cooked, retrieves a relevant recipe, generates a cooking command, and controls the appliance accordingly, allowing for user input adjustments and consideration of storage environment conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If automatic vision recognition and AI-based recipe retrieval are implemented, then cooking process accuracy and ingredient-specific control are improved, but device complexity and system requirements increase
Solution Approach 1:
A server acts as an intermediary between the user equipment and the cooking appliance. The server performs the complex AI vision recognition and recipe retrieval processing, receiving the captured image from user equipment, identifying the ingredient, retrieving the appropriate recipe, and generating cooking commands. This mediator approach allows the cooking appliance itself to remain relatively simple while still achieving accurate, ingredient-specific cooking control through the server's intelligent processing capabilities.
2Ease of operation
If manual recipe reading and selection are required, then user control and customization are improved, but cooking time and user convenience deteriorate
Solution Approach 1:
The system enables self-service cooking by automatically identifying the ingredient through vision recognition and autonomously retrieving and executing the appropriate recipe. The user simply needs to capture an image of the ingredient, and the system handles the entire process of recipe selection, command generation, and appliance control without requiring the user to manually read recipes or make selections, significantly improving convenience while reducing preparation time.
3Ease of operation
If simple time-oriented operation method is used, then ease of use is improved, but cooking quality and ingredient-specific optimization worsen
Solution Approach 1:
The system achieves multi-functionality by combining simple user interaction (image capture) with advanced AI processing (vision recognition, recipe retrieval, and command generation). This universal approach allows the system to handle various ingredients and cooking scenarios while maintaining ease of use, bridging the gap between simple operation and high-quality, ingredient-specific cooking optimization.
Data Source
AI summary
A non-transitory computer readable recording medium including a computer readable program executable by at least one processor, in which the program includes functions of obtaining an image of a product to be cooked, obtaining information on the product to be cooked by performing vision recognition of the image of the product to be cooked, retrieving a recipe to be applied to the product to be cooked based on the information on the product to be cooked, obtaining cooking appliance registered in a user, generating a cooking command for the registered cooking appliance by using the retrieved recipe, and controlling the registered cooking appliance in accordance with the cooking command.