Non-Destructive Detection of Egg Freshness Using MATLAB

This MATLAB-based study aims to explore non-destructive techniques for detecting egg freshness. As eggs remain a staple in daily diets worldwide, accurate freshness assessment becomes crucial for both consumers and producers. Our research leverages MATLAB's computational capabilities to develop a reliable freshness detection methodology through signal processing and image analysis algorithms. The implementation involves extracting egg features using various perception algorithms (such as edge detection and texture analysis) and signal processing techniques (including Fourier transforms and wavelet analysis). We compare multiple non-invasive detection approaches - including acoustic resonance analysis, optical reflectance measurements, and thermal imaging processing - to identify the most effective method. Key MATLAB functions employed include image processing toolbox for visual analysis, signal processing toolbox for frequency domain examination, and statistical tools for data validation. The ultimate objective is to create an accurate, repeatable, and verifiable egg freshness detection system that enables quality and safety assessment without physical alteration of the eggs. The methodology emphasizes algorithm optimization through iterative testing and validation protocols to ensure practical applicability in both industrial and consumer settings.