Acoustic Sensor Toaster for Automatic Toasting Level Control
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Solution Overview
Problem
Existing toasters struggle to accurately toast various foods with different qualities, such as moisture content and density, without over-toasting or under-toasting, and often require user intervention to adjust settings.
Innovation Solution
A toaster equipped with acoustic sensors that detect sounds during toasting, using machine learning or AI to control heating elements based on these sounds, allowing for precise toasting 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 cannot accurately determine the correct settings for different foodstuffs with varying moisture content, density and temperatures
Solution Approach 1:
The patent replaces mechanical timing devices and thermostatic controls with an acoustic sensing system. Microphones detect sound frequencies generated during toasting, and signal processing circuits analyze these acoustic signals to determine toasting completion. This substitution of mechanical/thermal control systems with an acoustic field-based system enables automatic control while achieving accurate detection of toasting level across different food types.
2Loss of information
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 and difficulty in identifying which area to monitor
Solution Approach 1:
The patent substitutes optical sensing systems with acoustic sensing. Instead of using cameras or photodetectors to monitor color changes (which suffer from variability in optical properties across different foods), the system uses microphones to detect acoustic emissions. All areas of the foodstuff contribute to the acoustic signal, providing reliable and consistent feedback regardless of the food's optical characteristics or geometry.
3Loss of information
If gas sensors or ionization chambers are used to detect particulates and gases from toasting food, then chemical changes can be monitored, but the sensors are sensitive and specialized, and cannot average out or omit anomalous input from different areas of the food
Solution Approach 1:
The patent replaces complex, sensitive chemical sensors (gas sensors and ionization chambers) with simpler acoustic sensors. The acoustic emissions detected by microphones provide information about chemical and physical changes during toasting without requiring specialized sensitive detectors. The system naturally averages acoustic input from all areas of the food, and anomalous sounds can be filtered through signal processing, achieving chemical monitoring with simpler, more robust hardware.
4Loss of energy
If prior art toasters store heat after an initial toasting cycle, then energy efficiency is improved, but over-toasting occurs in subsequent cycles if settings are not adjusted
Solution Approach 1:
The patent implements real-time acoustic feedback control during each toasting cycle. Microphones continuously monitor sound emissions, and the control system adjusts heating element operation based on the detected acoustic signal. This feedback mechanism ensures consistent toasting results in every cycle, independent of residual heat in the toaster, because the system responds to actual acoustic indicators of toasting progress rather than relying on predetermined timing or temperature settings that would be affected by heat storage.
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 toaster achieves consistent toasting results by accurately determining the toasting level through sound analysis, eliminating the need for user guesswork and reducing over-toasting or under-toasting issues.
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 by the heating elements; and generate an audio signal based on the sounds
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.