Egg Freshness Detection via Centroid Ratio Analysis
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Solution Overview
Problem
Current methods for detecting egg freshness are either destructive, time-consuming, costly, or unsuitable for large-scale industrial use, as they involve manual measurement, machine vision, infrared spectroscopy, or gas chromatography, which are influenced by external factors and lack efficiency.
Innovation Solution
A method utilizing centroid measurement to determine egg freshness by calculating the centroid ratio and establishing mathematical models correlating this ratio with the Haugh index at different temperatures and positions, enabling rapid, non-destructive, and accurate detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual or physical-chemical index measurement is used for egg freshness grading, then measurement accuracy is achieved, but production efficiency is low and cost is high
Solution Approach 1:
The patent replaces manual mechanical measurement with an automated image processing system. The system captures images of eggs using a camera and processes them through computer vision algorithms to automatically determine freshness based on visual characteristics, eliminating the need for manual handling and physical-chemical measurements while significantly improving processing speed and throughput.
Solution Approach 2:
The patent creates a digital copy (image) of the egg instead of physically damaging it for measurement. By capturing visual information and analyzing it through image processing, the system can determine freshness without contacting or damaging the egg, enabling rapid non-destructive screening that maintains both accuracy and efficiency.
2Productivity
If machine vision technology is used for egg freshness identification, then detection speed is improved, but it is influenced by color and thickness of eggshell and light source brightness
Solution Approach 1:
The patent adjusts multiple imaging parameters including light source characteristics, camera exposure settings, and image processing algorithms to standardize the detection process. By controlling these parameters consistently, the system minimizes the influence of variable factors such as eggshell color, thickness, and ambient light conditions, thereby maintaining high detection accuracy across different egg types and environments.
Solution Approach 2:
The system incorporates feedback mechanisms where the image processing algorithm continuously refines its analysis based on the captured images. By comparing detected features against established freshness criteria and adjusting interpretations based on observed variations in egg appearance, the system compensates for influences from eggshell characteristics and lighting conditions, ensuring reliable freshness determination.
3Object-affected harmful factors
If infrared spectroscopy technology is used for egg freshness detection, then non-destructive measurement is achieved, but data analysis workload is very great and easily influenced by external environment
Solution Approach 1:
The patent replaces complex infrared spectroscopy analysis with simpler image processing techniques. Instead of analyzing spectral data that requires sophisticated computational methods, the system uses visual image capture and processing to directly assess freshness characteristics, significantly reducing data analysis complexity while maintaining non-destructive measurement capability.
Solution Approach 2:
The patent employs a simple, low-cost camera system that captures visual information in a single operation, eliminating the need for complex and expensive infrared spectroscopy equipment. This approach uses straightforward image processing algorithms that are computationally lighter and less susceptible to environmental interference compared to spectral analysis methods.
4Measurement precision
If gas chromatography and gas chromatograph-mass spectrometer are used to detect volatile components, then accurate reflection of volatile substance composition is achieved, but cost is high and detection period is long
Solution Approach 1:
The patent substitutes complex gas chromatography analysis with visual image processing. Instead of requiring time-consuming separation and detection of volatile components through multiple chromatographic steps, the system directly captures and analyzes visual characteristics of the egg that reflect freshness, achieving rapid non-destructive assessment without the lengthy detection periods associated with gas chromatography methods.
Data Source
AI summary
A method for non-destructive detection of egg freshness based on centroid measurement. A real-time distance between the centroid position of an egg and the top of a small end of the egg is measured, the ratio of the distance to the length of the egg is defined as a centroid ratio, models are respectively established regarding a centroid ratio change and the number of days the egg has been stored, and regarding the centroid ratio change and the egg freshness, and the number of the days the egg has been stored and the egg freshness are predicted by means of the established models.