Abstract: In order to enhance the veracity of egg freshness non-destructive detection, a comprehensive model for non-destructive detection of egg freshness was developed, which applied image parameters reflecting egg inner color and the acoustics feature parameters acquired by knocking on eggshell. The parameters of two detection methods could be compensated and corrected each other. The lightness of egg color and coefficient of egg shape were obtained with the computer vision device. The power spectral area, formant frequency and the X center of mass were obtained by acoustics analysis. And corresponding egg freshness (Haugh unit) could be acquired through the test. Multiple linear regression model was set up by sample data based on image parameters and acoustics feature parameters. The optimal correlations between egg freshness and its image characteristic parameters and acoustics feature parameters were obtained. The test results show that the correct recognition rate of egg freshness of the model is 92%.