Abstract
In this article, the training parameters of cascade classifiers for specific targets (such as human faces and palms) are obtained by using the program training function provided by OpenCV and adjusting parameters such as the number of positive and negative samples and ratios to achieve better recognition results. Finally, the aiming and locking system for specific targets is constructed by combining recognition, algorithm, and robot control capabilities.
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