Infrared Toaster Browning Control With Camera Feedback
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Solution Overview
Problem
Existing toasters fail to consistently achieve uniform toasting across bread products like English muffins in a short time, often resulting in burning due to surface irregularities and temperature variations, which is a challenge for restaurant operators seeking quick and even browning.
Innovation Solution
A toaster system that includes an infrared (IR) source, a camera for image analysis, and a processor to monitor and control the toasting process, using image processing techniques to determine the toasting level based on light spectra and brightness compensation, ensuring consistent and uniform browning by adjusting IR energy application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If infrared energy input is increased to shorten toasting time, then toasting speed is improved, but bread products are more likely to be burned rather than toasted uniformly
Solution Approach 1:
The system employs a camera to capture images of the bread product during toasting and uses image processing algorithms to analyze color changes in real-time. This feedback loop allows the system to monitor the toasting process and determine when the desired brownness level is achieved, preventing over-toasting while maintaining high speed operation.
Solution Approach 2:
The system dynamically adjusts the infrared energy delivery parameters based on real-time image analysis. By monitoring color changes and calculating brownness metrics from captured images, the system can modify heating intensity and duration to achieve uniform browning across the bread surface, resolving the contradiction between speed and uniformity.
2Manufacturing precision
If toasting time is extended to achieve uniform browning, then uniformity of browning is improved, but toasting time increases which reduces productivity
Solution Approach 1:
Real-time image capture and analysis provide continuous feedback on the browning uniformity across different regions of the bread product. This allows the system to identify areas that require additional toasting and adjust energy distribution accordingly, achieving uniform browning faster than traditional methods.
Solution Approach 2:
The system transitions from static, pre-determined toasting cycles to dynamic, adaptive control where heating parameters are continuously adjusted based on real-time visual feedback. This enables the system to achieve uniform browning in shorter time by concentrating energy where needed and reducing it where sufficient browning has already occurred.
3Reliability
If the toasting process is monitored more precisely to prevent burning, then quality consistency is improved, but device complexity increases due to additional sensors and control systems
Solution Approach 1:
The system replaces complex mechanical temperature sensing and control mechanisms with an optical-based image analysis system. By using a camera and image processing algorithms to monitor color changes, the system achieves precise quality control without the complexity of multiple temperature sensors and thermal management systems.
Solution Approach 2:
The system uses the bread product's own visual characteristics (color changes during toasting) as the monitoring parameter. This self-indicating property eliminates the need for external probes or sensors that contact the food, simplifying the overall system architecture while maintaining high reliability and quality consistency.
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 system achieves consistent and uniform browning across various bread products by precisely controlling IR energy, preventing overtoasting and undertoasting, thereby improving the toasting efficiency and quality.
Implementation Method 1
An infrared (IR) source is arranged relative to the support. The IR source is operable to direct IR energy to the food product on the support.
Implementation Method 2
The process of toasting, which is also referred to herein as browning, is the result of a chemical reaction known as the Maillard reaction. The Maillard reaction is the reaction between carbohydrates and proteins that occurs upon heating and which produces browning.
Implementation Method 3
A light source is arranged relative to the support. The light source is operable to illuminate the food product on the support while the IR source operates to direct IR energy. A camera operates to capture digital images of the food product on the support.
Data Source
AI summary
An infrared toaster and a method of toasting use a support configured to hold a food product relative to an infrared source. A light source and a camera are arranged relative to the support to illuminate the food product and capture digital images of the food product. A processor receives and analyzes successive images from the camera. The processor operates the IR source to achieve a predetermined toasting level of the food product. The processor operates the IR source to terminate operation directing IR energy when the predetermined toasting level is reached.