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 the product being cooked, leading to suboptimal cooking processes due to user ignorance of appropriate methods.
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
1Ease of operation
If automatic vision recognition and AI recipe retrieval are implemented, then cooking process automation and user convenience are improved, but device complexity and system resource requirements increase
Solution Approach 1:
The system is divided into separate functional modules: a vision recognition module for identifying products, a recipe retrieval module for finding cooking instructions, and a command generation module for controlling the cooking appliance. This segmentation allows each module to specialize in one task, improving overall automation while managing complexity through modular design.
Solution Approach 2:
The server acts as an intermediary between the user equipment and the cooking appliance. The server receives product images, retrieves recipes, generates cooking commands, and transmits them to the cooking appliance. This intermediary approach centralizes the complex AI processing and recipe management functions, simplifying the user interface and appliance control while maintaining high automation capability.
2Productivity
If vision recognition and AI processing are performed in real-time, then cooking efficiency and user experience are improved, but energy consumption and processing time increase
Solution Approach 1:
The system performs vision recognition and recipe retrieval before the actual cooking process begins. The server identifies the product from an image, retrieves the appropriate recipe, and prepares cooking commands in advance. This preliminary action ensures that all AI processing and data retrieval are completed before cooking starts, improving cooking efficiency while allowing energy consumption to occur during the preparation phase rather than during the cooking process itself.
3Adaptability or versatility
If multiple cooking appliances are supported and registered, then system versatility and adaptability are improved, but device complexity and control difficulty increase
Solution Approach 1:
The server is designed to support multiple types of cooking appliances through a universal interface and standardized command structure. The system can register and manage various appliances (ovens, microwaves, steamers, etc.) using the same recipe retrieval and command generation processes. This universality allows the system to adapt to different appliances without increasing complexity for the user, as the server automatically handles appliance-specific parameters and control protocols.
Data Source
AI summary
The present disclosure relates to a cooking appliance control method using artificial intelligence and a system thereof. The cooking appliance control method includes: performing vision recognition of an image of a product to be cooked captured by a user equipment, and obtaining information on the product to be cooked; retrieving a recipe to be applied to the product to be cooked, on the basis of the information on the product to be cooked; loading information on a cooking appliance registered in a user account; generating a cooking command for the registered cooking appliance by using the recipe, and providing the cooking command to the user equipment; and controlling the registered cooking appliance by the user equipment in accordance with the cooking command.