Automatic Oven with Sensor-Based Food Detection for Self-Programming
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Solution Overview
Problem
Consumers face challenges in cooking various food items due to a lack of understanding of cooking methods and inaccuracies in estimating food quantities, leading to incorrect programming of cooking appliances.
Innovation Solution
An automatic cooking appliance that detects the type, amount, and initial state of food, and automatically cooks based on consumer input preferences using sensors and a user interface for precise cooking control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If consumers manually program cooking appliances, then they can control cooking parameters, but user error occurs due to lack of understanding of cooking methods and inaccurate food quantity estimation
Solution Approach 1:
The cooking appliance automatically detects food type, quantity, and initial state using sensors, then self-programmes the cooking cycle without requiring user knowledge of cooking methods. The system serves itself by making intelligent decisions about temperature, time, and cooking mode based on detected food characteristics.
Solution Approach 2:
Manual programming interfaces are replaced with automatic sensor-based detection systems. Optical sensors, weight sensors, and temperature sensors substitute for manual user input, eliminating the need for consumers to understand cooking methods or accurately estimate food quantities.
2Reliability
If automatic detection systems are implemented, then cooking accuracy improves, but device complexity increases due to additional sensors and processing requirements
Solution Approach 1:
A single integrated sensor assembly performs multiple detection functions simultaneously - optical sensors detect food type and color, weight sensors measure food quantity, and temperature sensors detect initial state. This multi-functional approach reduces the need for separate detection systems for each parameter.
Solution Approach 2:
Multiple sensor types (optical, weight, temperature) are combined into a unified detection system that processes all food characteristics through a single control unit. The sensor assembly is integrated into the appliance structure, merging detection, processing, and control functions into one cohesive system.
Data Source
AI summary
An automatic oven having a controller and a sensor assembly for automatically determining a food type for a food item placed in a cooking chamber of the automatic oven, and cooks the automatically determined food item according to a cooking profile selected based on the determined food type, while optionally accommodating a user input on the determining of the food type, and the cooking profile, including an optional degree of doneness.