Cooking Chamber Object Detection for Automatic Food Parameter Control
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Solution Overview
Problem
Current cooking systems require users to input extensive information about the cooking process and food products, which is time-consuming and often results in suboptimal cooking outcomes despite correct input.
Innovation Solution
A system with an object detection mechanism for automatic determination of food product parameters, a control unit for generating cooking data based on these parameters, and an energy unit for precise energy supply to the cooking chamber, allowing for optimal cooking without user input errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the user manually inputs cooking information and food product details, then the system can process the data, but the process becomes time-consuming and error-prone
Solution Approach 1:
The system uses object detection devices (cameras, sensors) to automatically detect and determine food product parameters such as size, weight, and type. The control unit automatically generates cooking data based on detected parameters, eliminating the need for manual user input and reducing time consumption and errors.
Solution Approach 2:
The patent replaces manual mechanical input (user typing or selecting parameters) with automated optical and sensor-based detection systems. The object detection devices capture images and measurements, and the control unit processes this data to generate cooking parameters automatically.
2Reliability
If the system uses generic cooking settings, then the operation is simple, but the food product is not optimally cooked
Solution Approach 1:
The system determines specific cooking data (temperature, time, power levels) tailored to each detected food product's characteristics. Different zones within the cooking chamber can have different energy supply parameters, and each food product receives customized cooking settings based on its size, weight, and type, ensuring optimal cooking quality.
Solution Approach 2:
The control unit adjusts cooking parameters (temperature, time, energy distribution) based on the detected food product parameters. The system dynamically changes cooking conditions to match the specific requirements of each food item, transitioning from fixed generic settings to adaptive variable settings.
3Productivity
If the system automatically detects food parameters, then user input time is reduced, but the system complexity increases
Solution Approach 1:
The object detection devices serve multiple functions: they detect food product presence, determine size, weight, type, and position, and provide data for cooking parameter generation. The control unit integrates detection data, cooking data generation, and energy unit control in a single system, reducing overall complexity despite added functionality.
Data Source
AI summary
The invention relates to a system for the preparation of at least one food product (2) as well as a method for the same, wherein the system (1, 50) comprises a cooking chamber (3), in which the food product (2) can be prepared.


