Computer image analysis is increasingly important in carcase evaluations to determine pricing in beef markets. Images captured by cameras can accurately predict carcase traits such as marble score and eye muscle area. As technology develops, older camera models are being replaced as newer versions are developed. This study estimated genetic parameters for carcase traits using the MIJ-30 camera and compared it to estimates based on the older Mirror-type camera. Traits investigated were hot standard carcase weight, AUS-MEAT marble score, HK-333 Japanese mirrortype camera fineness index and MIJ-30 fineness index. Univariate animal models were used to estimate variance components and heritabilities. Bivariate analysis was done to make pairwise comparisons between traits and estimate correlations. Traits were moderately heritable (0.33 – 0.58). The genetic correlation between the fineness index of the two cameras was 0.55 ± 0.19, indicating that measures from each camera should be treated as separate traits for genetic evaluation. This work supports the need to continuously validate newer carcase evaluation technologies to better understand evolving traits and how to incorporate them into genetic evaluations.