Model for automatic detection of eggshell crack

In order to establish models for cracked eggs and intact eggs, a detecting system that was composed of an automatic impact device and a response sensor controller was used. Characteristic parameters such as the average area of power spectrum(x₁), the difference between the maximum and minimum values of area of the power spectrum (x₂), the average of the x-coordinate of centriod (x₃), difference between the maximum and minimum values in the x-coordinate of centroid (x₄), the average of the y-coordinate of centriod (x₅), the difference between maximum and minimum values in the x-coordinate of centroid (x₆), the average peak resonant frequency (x₁) and difference between the maximum and minimum values in peak resonance frequency (x₈), were achieved for differentiating cracked eggs and intact eggs according to the analysis of their power spectra in this research. Bayes theorem was applied to develop discrimination models for cracked eggs and intact eggs. The test showed that the average accuracy of detection models was about 92%.