AI Server Recipe Customization via Ingredient Image Recognition
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Solution Overview
Problem
Current methods for sharing and utilizing recipes are limited due to complex processes of creation, uploading, and searching, making it difficult for users to find and use suitable recipes.
Innovation Solution
An artificial intelligence cooking device that receives an image of ingredients, uses an AI server to search for matching recipes, and provides customized recipes based on the ingredients, cooking device type, and cooking environment, ensuring accurate food prediction and recommendation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If users manually create and upload recipes through complex processes, then recipe databases can be built, but the ease of operation deteriorates and user participation is limited
Solution Approach 1:
The system enables automatic recipe generation where the cooking device itself captures images of the cooking process, extracts ingredients and cooking steps through AI image recognition, and automatically uploads the recipe to the server without requiring manual user input for each recipe component
Solution Approach 2:
Manual mechanical processes of recipe creation (writing, uploading, formatting) are replaced by an automated system using image recognition technology and AI algorithms to automatically generate structured recipe data from visual inputs
2Reliability
If users search for recipes using complex search functions, then suitable recipes can be found, but the ease of operation deteriorates and the process becomes time-consuming
Solution Approach 1:
Manual search operations (typing keywords, filtering, browsing) are replaced by automatic image-based recognition where the system captures an image of the ingredients and uses AI to automatically identify and match the corresponding recipe from the database
Solution Approach 2:
An AI image recognition model serves as an intermediary between the user's ingredient image and the recipe database, automatically translating visual input into accurate recipe identification without requiring users to manually search through the database
3Adaptability or versatility
If generic recipes are provided without customization, then recipe provision is simple, but the adaptability to different cooking devices and environments deteriorates
Solution Approach 1:
The system pre-stores multiple versions of recipes with different cooking parameters (temperature, time, power levels) tailored to various cooking device types in the database, allowing the appropriate version to be automatically selected based on the user's specific device without requiring real-time adjustments
Solution Approach 2:
The recipe parameters are made dynamic and adjustable based on the detected cooking device type and environment, allowing the system to automatically modify cooking instructions to optimize performance for each specific device configuration
Data Source
AI summary
Disclosed is an artificial intelligence server. The artificial intelligence server includes a communication unit in communication with an electronic device, a memory for storing data, and a processor configured to receive an image of ingredients from the electronic device, provide the image of the ingredients to an artificial intelligence model to obtain a food name corresponding to the image of the ingredients, and transmit a recipe corresponding to the food name to the electronic device.