Abstract
The main methods of training workers at industrial enterprises to manually articles assemble are analyzed. The use of the Active Assist interactive tracking system is demonstrated. The advantages of using automated systems and computer vision in training are shown. A neural network based on the YOLO algorithm to track the execution of assembly operations is developed. Keywords manual assembly, assembly operation, technological process, worker training, teaching method, interactive tracking, machine vision
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