Cooking assistance appliance
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Solution Overview
Problem
Cooking appliances often pose challenges due to the need for constant attention to prevent messes, such as boiling over, burning, and smoke, especially for inexperienced users or when handling multiple recipes simultaneously, as existing technologies lack effective monitoring and assistance systems.
Innovation Solution
A cooking assistance appliance equipped with sensors, including visual light imaging devices and projectors, that detect mess conditions and provide real-time feedback and notifications to users, allowing for improved monitoring and control of cooking processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If cooking is performed without monitoring systems, then cooking simplicity is maintained, but mess conditions such as boiling over, burning, and smoke increase
Solution Approach 1:
The system continuously captures images of the cooking surface, processes them to detect mess conditions, and provides real-time feedback to the user through notifications and visual indicators on the cooktop surface. This closed-loop feedback mechanism enables automatic monitoring without requiring user attention.
Solution Approach 2:
The cooking appliance performs self-monitoring by automatically detecting mess conditions using integrated sensors and image processing algorithms. The system serves itself by identifying when intervention is needed, reducing the burden on the user to continuously watch the cooking process.
2Reliability
If real-time monitoring is implemented, then mess detection capability is improved, but device complexity increases
Solution Approach 1:
A single image sensor serves multiple functions: detecting liquid levels, identifying splatter, recognizing smoke conditions, and monitoring food browning. The same sensor and processing system handles various mess detection tasks, reducing the need for multiple specialized sensors and simplifying the overall system architecture.
Solution Approach 2:
The system replaces complex mechanical sensing arrangements with optical image capture and digital image processing. Instead of using multiple specialized mechanical sensors for different mess types, a single camera system with algorithmic analysis performs all detection functions.
3Measurement precision
If multiple sensors and processing algorithms are used, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system analyzes multiple image parameters including pixel intensity, color information, texture patterns, and spatial distribution to detect different mess conditions. By extracting and analyzing multiple features from the same image data, the system achieves high measurement precision without adding physical sensors.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The appliance effectively reduces the risk of messes and enhances user experience by providing real-time monitoring and assistance, allowing users to manage cooking tasks more efficiently and safely.
Implementation Method 1
at least one sensor configured to sense a mess on the cook surface, the at least one sensor comprising a visual light imaging device
Data Source
AI summary
A cooking assistance appliance can include a body, at least one camera, at least one sensor, and an imaging device for capturing an image of a cooking appliance. The cooking appliance can provide for monitoring use of the cooking appliance, as well as assisting the user in operating the cooking appliance. Additionally, the cooking assistance appliance can be integrated into a hood or a microwave oven and vent combination above a stovetop.