Automatic toaster
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Solution Overview
Problem
Existing toasters require manual adjustment for toasting time based on food type, leading to under-toasting or over-toasting, and existing sensing methods are unreliable or require complex processes, especially when toasting different food items with varying moisture and density.
Innovation Solution
A toaster equipped with acoustic sensors that analyze the sounds of toasting food to control heating elements, using machine learning or AI to determine the optimal toasting level, independent of food type and temperature.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If thermostatic, timing devices and temperature sensors are used to control toasting, then the toasting process can be automated, but the operator must still guess the correct settings for different foodstuffs leading to under-toasting or over-toasting
Solution Approach 1:
The patent employs acoustic sensors to detect sounds produced during toasting and uses this feedback to dynamically adjust heating element operation. The system continuously monitors toasting progress through sound analysis and modifies heating power in real-time, eliminating the need for pre-set timers and achieving reliable results across different food types.
Solution Approach 2:
The toasting system determines its own termination point by analyzing acoustic signals from the food being toasted. The controller autonomously decides when toasting is complete based on sound pattern recognition, without requiring operator intervention or knowledge of appropriate timing for different foodstuffs.
2Measurement precision
If optical devices are used to sense the color of food being toasted, then visual feedback can be provided, but the system becomes unreliable due to different optical properties of different foodstuffs
Solution Approach 1:
The patent replaces optical sensing systems with acoustic sensing. Instead of using cameras or light sensors to detect color changes, the system uses microphones and acoustic analysis to detect toasting progression through sound patterns, avoiding the reliability issues associated with varying optical properties of different foodstuffs.
3Measurement precision
If gas sensors or ionization chambers are used to detect particulates from foodstuffs, then toasting progress can be monitored, but accuracy is compromised due to differences in quantity and type of released particulates from different food types
Solution Approach 1:
The patent substitutes chemical sensing methods (gas sensors, ionization chambers) with acoustic sensing. By detecting sound waves produced during toasting rather than analyzing chemical composition or particulate release, the system achieves consistent performance across different food types without being affected by variations in gas emission characteristics.
4Adaptability or versatility
If manual timing adjustments are required for different food types, then the toaster can handle variety, but the operator must remember and adjust settings leading to inconsistent results
Solution Approach 1:
The system automatically adapts to different food types by analyzing acoustic signals in real-time. The controller self-adjusts heating parameters based on sound patterns without requiring the operator to select modes or adjust settings, maintaining both versatility and simplicity.
Solution Approach 2:
The patent dynamically changes heating parameters (power level, duration) based on acoustic feedback from the toasting process. The system modifies operational parameters in real-time according to the actual state of the food being toasted, achieving consistent results across different food types through automatic parameter optimization.
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
Accurately controls toasting by detecting sound patterns, ensuring consistent results without over-toasting or under-toasting, and eliminating the need for manual timing adjustments.
Implementation Method 1
one or more acoustic sensors mounted to the body and configured to: pick up one or more sounds produced by the foodstuff when the foodstuff is heated
Implementation Method 2
one or more heating elements mounted to the body and configured to heat foodstuff held by the body
Data Source
AI summary
A toaster comprising: a body configured to hold toastable foodstuff; one or more heating elements mounted to the body and configured to heat foodstuff held by the body; one or more acoustic sensors mounted to the body and configured to: pick up one or more sounds produced by the foodstuff when the foodstuff is heated by the heating elements; and generate an audio signal based on the sounds; and a controller configured to control the heating elements based at least in part on the audio signal generated by the acoustic sensors.