It is also important to consider the efficiency of sampling through Bayesian optimization. The material pool used for this force measurement included 8 types of crystals. Although the ranges for length, width, and thickness differ, if we were to sample 10 discrete points along each size dimension, a grid search would require a total of 8000 crystal samplings. Assuming that the maximum value obtained through Bayesian optimization is the global maximum of the search space and the light conditions are the same, this method has reduced the number of experiments to 110 out of 8000. Consequently, it is estimated that we have succeeded in improving experimental efficiency by at least 73 times, depending on the discretization. If we consider taking finer intervals in grid search, the total number of experiments increases exponentially, making the efficiency of Bayesian optimization stand out.