Heating Cooker Image Recognition Using Adaptive Shooting Conditions
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Solution Overview
Problem
Conventional heating cookers, such as microwave ovens, face challenges in accurately recognizing images within the heating chamber due to poor lighting conditions, leading to inefficiencies in image recognition and cooking time settings.
Innovation Solution
A heating cooker system that includes a heating chamber, an imaging section for capturing images inside the chamber, and a controller to adjust shooting conditions such as sharpness, contrast, and lighting settings to enhance image recognition accuracy, allowing for precise image recognition and cooking control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If image recognition is performed inside the heating chamber, then cooking automation is improved, but image recognition accuracy deteriorates due to poor lighting conditions
Solution Approach 1:
The system performs preliminary actions by adjusting lighting conditions and shooting parameters before capturing the image. The controller sets appropriate lighting intensity and shooting conditions in advance to ensure the image quality is sufficient for recognition, thereby resolving the contradiction between automation and recognition accuracy.
Solution Approach 2:
The system changes shooting parameters (lighting intensity, exposure time, shooting angle) based on the recognized object type and chamber conditions. By dynamically adjusting these parameters, the system maintains high image recognition accuracy while enabling automated cooking operations.
2Measurement precision
If lighting intensity is increased to improve image quality, then image recognition accuracy is improved, but energy consumption increases
Solution Approach 1:
The system applies partial lighting action by illuminating only the necessary regions of the heating chamber at appropriate intensities. Rather than uniformly lighting the entire chamber, the system provides just enough light in critical areas to enable accurate image recognition, thereby reducing overall energy consumption while maintaining recognition accuracy.
Solution Approach 2:
The controller dynamically adjusts lighting parameters (intensity, duration, positioning) based on the shooting requirements and object characteristics. By optimizing these parameters, the system achieves sufficient image quality for recognition while minimizing energy consumption during the shooting process.
Data Source
AI summary
A heating cooker includes shooting section (201) for shooting an image inside a heating chamber that accommodates a heat-target object, and controller (200) that sets a shooting condition for shooting the image of an interior of the heating chamber and carries out an image recognition to the image. Controller (200) analyzes the image of the interior of the heating chamber, thereby recognizing a state inside the heating chamber, and then changes the shooting condition in response to the state inside the heating chamber for shooting the image. The structure discussed above allows this heating cooker (100a), which carries out the image recognition to the image of the interior of the heating chamber, to achieve a greater accuracy in the image recognition.