In order to solve the problems such as the difficulty in obtaining the relevant data of the relative angular velocity of the target encapsulated in the fire control system in real time during training, the inability of single data points in the fire control system to reflect the relationship between the operator’s operation and the changes in the target’s position within the sight, low accuracy in evaluating steady target tracking training, and the lack of specificity in training guidance, this paper proposes to use the target recognition technology to measure the aiming deviation angle generated by the relative angular velocity of the target. By comparing this with the output voltage signal curve from the control console, a tracking stability curve is generated. Furthermore, by identifying the aimed target and comparing it with the center coordinates of the stored image, an aiming accuracy curve is produced. The tracking stability curve and aiming accuracy curve obtained from this study can be used to comprehensively evaluate the operation skills of the operator in the process of aiming and steady tracking target, and this is applied to the design of a training and evaluation system for steady tracking target, thereby improving the scientific evaluation and targeted effective guidance for operator training.
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