Setting desired browning on a domestic cooking appliance
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Solution Overview
Problem
Existing cooking appliances face challenges in accurately determining the degree of browning for complex or inhomogeneous foods due to the complexity of AI algorithms required, leading to unsatisfactory cooking results.
Innovation Solution
A method and apparatus that allow users to select a user-defined image measurement region within a displayed image from a cooking chamber, enabling them to set and achieve a desired degree of browning without relying on complex AI algorithms, using a camera, screen, and operator interface for precise control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex AI algorithms are used to automatically determine the image measurement region, then the degree of browning can be determined for complex foods, but the computational complexity and costs increase significantly
Solution Approach 1:
The patent extracts the image measurement region selection from the complex AI-based automatic determination process. Instead of using complex algorithms to determine the entire measurement region, the system extracts only the necessary region by allowing user selection on a displayed image, thereby reducing computational complexity while maintaining measurement precision for browning determination.
Solution Approach 2:
The patent inverts the traditional approach by first displaying the captured image and then allowing the user to select the measurement region, rather than automatically determining the region through complex AI algorithms. This inversion simplifies the computational requirements while enabling precise browning measurement for complex or inhomogeneous foods.
2Extent of automation
If automatic image processing is used to determine browning, then the process is automated, but the computational costs and complexity increase
Solution Approach 1:
The patent extracts the essential function of automatic browning determination from the complex image processing pipeline. By displaying the captured image and allowing simple user region selection, the system maintains automation for the critical measurement and control functions while eliminating the need for complex AI-based automatic region determination.
Solution Approach 2:
The patent uses a visual copy of the captured image displayed on the operator interface as the basis for measurement region selection. This visual copy allows users to intuitively select regions without dealing with complex processing, maintaining automation while reducing computational complexity.
3Measurement precision
If complex AI algorithms are implemented, then browning can be determined for inhomogeneous foods, but the costs for data processing facility increase
Solution Approach 1:
The patent extracts the browning measurement function from complex AI processing by using simple user-selected regions on displayed images. This approach maintains measurement accuracy for inhomogeneous foods while significantly reducing the computational hardware requirements and associated manufacturing costs.
Solution Approach 2:
The patent replaces expensive, complex AI processing systems with a simpler, more cost-effective approach using standard display and input devices. The system achieves the same measurement accuracy for inhomogeneous foods without requiring costly specialized data processing facilities.
Data Source
AI summary
In a method for setting a desired degree of browning of food to be cooked, an image from a cooking chamber of a household cooking appliance containing food to be cooked is recorded and the image is displayed on a screen. A user-selectable image measurement region is defined in the displayed image and a desired degree of browning is ascertained for the selected image measurement region.