Rapid detection method of workshop staff based on deep learning

Abstract

As the basic unit of production activities in the workshop, the staffs have subjective initiative and high degree of uncertainty. Thus, the management of human in workshop is important and difficult. Based on the urgent necessary of real production, an efficient method for detecting workshop staff was proposed. Compared with the existing 3-Stage CCNN and Adaptive Rec-network, the experiments proved that the proposed method has higher accuracy.