Cooking Apparatus Adaptive Capture Interval for Video Efficiency
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Solution Overview
Problem
Existing cooking apparatuses require users to manually navigate through lengthy cooking videos, making it inconvenient to identify important cooking stages due to fixed recording speeds, leading to unnecessary viewing of unchanging portions or skipping crucial parts.
Innovation Solution
A cooking apparatus that adjusts the capture interval and image resolution based on the cooking state change of the food, generating a video with optimized frame rates and feature information to highlight significant changes, allowing for intuitive video playback and editing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the capture interval is fixed during cooking, then the video recording is simple to implement, but the video contains unnecessary portions with little change, requiring users to spend excessive time watching
Solution Approach 1:
The capture interval is dynamically adjusted based on the cooking state change amount. When the cooking state changes significantly, the capture interval is decreased to record more frames. When the cooking state remains relatively stable, the capture interval is increased to skip redundant frames. This dynamic adjustment resolves the contradiction by making the video length adapt to the actual cooking process needs.
Solution Approach 2:
The system changes the capture interval parameter based on the cooking state change amount. By monitoring how much the cooking state changes between frames and adjusting the capture interval accordingly, the system optimizes video length while preserving important cooking stages, thus reducing user viewing time without losing critical information.
2Loss of information
If the capture interval is decreased to record all cooking details, then the video captures all important changes, but the video becomes excessively long and contains unnecessary portions
Solution Approach 1:
The capture interval parameter is adjusted based on the cooking state change amount. When significant changes are detected, the interval decreases to capture more details. When changes are minimal, the interval increases to skip redundant portions. This resolves the contradiction by adapting the recording density to the actual information content.
Solution Approach 2:
Instead of uniformly capturing all frames or using a fixed interval, the system applies partial action by selectively decreasing the capture interval only when cooking state changes warrant detailed recording. This avoids excessive recording of unchanging portions while ensuring important changes are captured.
3Measurement precision
If image resolution is maintained at high levels throughout cooking, then detailed food changes are captured, but data processing burden increases significantly
Solution Approach 1:
The image resolution parameter is dynamically adjusted based on the cooking state change amount. When significant changes are detected, high resolution is maintained to capture detailed food transformations. When changes are minimal, resolution is reduced to decrease data processing burden. This resolves the contradiction by adapting data quality to the actual information needs.
Solution Approach 2:
The system applies high-resolution imaging partially, only when cooking state changes warrant detailed capture. During periods of minimal change, lower resolution is used. This partial application of high resolution reduces overall data processing complexity while maintaining measurement precision when actually needed.
4Productivity
If the capture interval is increased to reduce video length, then processing efficiency improves, but important cooking stages may be skipped
Solution Approach 1:
The capture interval parameter is dynamically adjusted based on real-time cooking state change detection. When the system detects significant cooking state changes, it decreases the capture interval to ensure critical moments are recorded. When changes are minimal, the interval increases to improve processing efficiency. This resolves the contradiction by making processing efficiency adaptive to information importance.
Solution Approach 2:
The system uses feedback from cooking state change detection to adjust the capture interval. By continuously monitoring food state changes and using this information to control recording density, the system ensures important stages are captured while maintaining overall processing efficiency. The feedback loop prevents skipping critical moments while avoiding unnecessary recording of unchanging portions.
Data Source
AI summary
A cooking apparatus including an image capturer and a processor configured to identify a food object from a plurality of images obtained through the image capturer, adjust a capture interval at which an image of the food object is obtained in real time through the image capturer based on information about a cooking state change of the identified food object, and generate a video based on the captured image obtained according to the adjusted capture interval.