Smart Cooktop System and Method of Using Same
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Solution Overview
Problem
Cooktop users face challenges in monitoring cooking processes safely and efficiently, leading to potential hazards like overflow, overheating, and food waste, as they must constantly observe cooking utensils to avoid undesirable events.
Innovation Solution
A smart cooktop system equipped with camera modules and a controller that monitors cooking processes, detects hazardous events, and can communicate with remote devices to send alerts or control heating elements, facilitating safe and convenient use by enabling autonomous operation and user engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the user constantly observes the cooking utensil to avoid hazardous events, then safety is improved, but user convenience and time efficiency deteriorate
Solution Approach 1:
The cooktop system performs self-monitoring through integrated cameras and sensors that automatically detect cooking status, hazards, and cooking completion without requiring user observation. The system autonomously identifies cooking events, detects hazardous conditions like overflow or burning, and triggers appropriate responses, enabling the appliance to serve itself in monitoring its own operation state.
Solution Approach 2:
The system continuously captures images and sensor data from the cooking surface, processes this information through AI algorithms to identify cooking events and hazards, and provides feedback to both the control system and remote users. This closed-loop feedback mechanism enables real-time monitoring and automated response to cooking conditions, replacing the need for constant user observation.
2Reliability
If the user constantly observes the cooking utensil, then hazardous events are detected early, but time efficiency and productivity deteriorate
Solution Approach 1:
The cooktop system autonomously monitors its own operation by capturing images and sensor data from the cooking surface, processing this information through AI algorithms to identify cooking events and hazards, and triggering appropriate responses without requiring user time or attention. This self-monitoring capability frees the user from the need to constantly check on cooking progress.
Solution Approach 2:
The system replaces the mechanical action of user observation with an automated optical and computational system. Cameras capture images of the cooking surface, AI algorithms process these images to detect hazards and cooking events, and the control system executes automated responses. This substitution of mechanical human observation with an automated sensing and processing system dramatically improves time efficiency while maintaining hazard detection capability.
3Measurement precision
If camera modules are integrated into the cooktop, then system reliability and detection accuracy are improved, but device complexity increases
Solution Approach 1:
The system merges multiple previously separate components into a single integrated cooktop unit: heating elements, camera modules, sensors, AI processing unit, and control systems are all combined within the cooktop appliance. This integration enables the cooktop to function as both a cooking device and an automated monitoring and control system, improving detection accuracy while consolidating system complexity into a unified appliance rather than requiring separate external devices.
Data Source
AI summary
A cooktop system is configured to detect cooking events during a cooking process performed on a cooktop. The system includes a cooktop having one or more cameras integrated into the cooking surface and a controller that is configured to receive the image data generated by the cameras, process the image data to identify a corresponding cooking event, and perform a response function based on the identified cooking event.