Cooking Chamber Image Staging for Precise Doneness Selection
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Solution Overview
Problem
Existing cooking devices lack the ability to accurately display and achieve the desired cooking state of food, as they only provide uniform images of completion, failing to meet users' specific cooking needs.
Innovation Solution
A cooking device equipped with a display unit, camera, and processor that uses an image generation model to create expected images of cooking progress stages, allowing users to select their desired cooking degree and adjust cooking parameters accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a uniform image of food completion is provided, then the device complexity is reduced, but the adaptability to different cooking needs deteriorates
Solution Approach 1:
The patent segments the cooking process into multiple discrete stages (raw, slightly cooked, medium, well-cooked, etc.) and provides distinct images for each stage. This allows users to select their desired cooking degree without requiring complex continuous image generation, thus maintaining simplicity while improving adaptability.
Solution Approach 2:
The system pre-generates and stores multiple images representing different cooking stages before the actual cooking process. When a user wants to cook food, they can directly select from these pre-prepared images, avoiding the need for real-time complex image manipulation and reducing computational complexity during operation.
2Adaptability or versatility
If multiple expected images representing different cooking stages are generated, then the adaptability to user needs is improved, but the device complexity increases
Solution Approach 1:
The patent applies local quality by modifying specific attributes (such as color, texture, or opacity) of food images to represent different cooking stages, while keeping the overall food structure and identity intact. This targeted modification approach reduces the complexity compared to generating entirely new images for each stage.
Solution Approach 2:
The system creates multiple copies of a base food image and applies different processing levels to each copy to represent various cooking stages. This copying approach is simpler than generating unique images from scratch for each cooking level, as it reuses the same base image structure with localized modifications.
3Measurement precision
If the image generation model manipulates numerical values of image attributes, then the measurement precision of cooking degree is improved, but the device complexity increases
Solution Approach 1:
The patent changes specific parameters of the food images (such as color intensity, brightness, or texture values) to represent different cooking degrees. By manipulating a limited set of key parameters rather than the entire image data, the system achieves precise cooking indication while keeping the processing algorithm relatively simple.
Data Source
AI summary
A cooking device can include a display; a cooking chamber; a heating part configured to heat the cooking chamber; and a camera configured to capture an image of food located inside the cooking chamber. Also, the cooking device further includes a processor configured to input the image into an image generation model that generates a changed image by manipulating a numerical value of an image attribute, generate a plurality of expected images representing cooking progress stages of the food based on an output of the image generation model, display the plurality of expected images on the display, receive a selection for a selected expected image among the plurality of expected images, and control the heating part to cook the food based on cooking information matched to the selected expected image.