Machines to automate shucking of oysters require the oysters to be properly oriented prior to entering the shucking machine. This article describes a computer vision system capable of automating orientation of oysters. The system developed uses one black and white video camera and a plane mirror to simultaneously collect both a top and side projected view of an oyster. Processing software developed determines the principal oyster axis and calculates two width to thickness ratios, one taken 1.5 cm from each end of the principal axis. A stepping motor attached to a rotary plate rotates the oyster to the desired position. The system was capable of correctly orienting (within ± 0.13 rad) 98.2% of 233 oysters collected from four oyster beds in the Chesapeake Bay.