Systems of intelligent control of manual operations in industrial production are being implemented in many industries nowadays. Such systems use high-resolution cameras and computer vision algorithms to automatically track the operator's manipulations and prevent technological errors in the assembly process. At the same time compliance with safety regulations in the workspace is monitored. As a result, the defect rate of manufactured products and the number of accidents during the manual assembly of any device are decreased. Before implementing an intelligent control system into a real production it is necessary to calculate its efficiency. In order to do it experiments on the stand for manual operations control systems were carried out. This paper proposes the methodology for calculating the efficiency indicators. This mathematical approach is based on the IoU calculation of real- and predicted-time intervals between assembly stages. The results show high precision in tracking the validity of manual assembly and do not depend on the duration of the assembly process.

翻译：当前许多行业正在实施工业产线手工作业智能控制系统。此类系统采用高分辨率摄像头与计算机视觉算法，自动追踪操作人员的手部动作，预防装配过程中的工艺错误，同时实时监测工作区域的安全规程遵守情况。由此，各类设备手工装配中的产品缺陷率及事故发生率均显著下降。在将智能控制系统实际部署到生产线前，需预先评估其运行效率。为此，本研究针对手工作业控制系统实验台开展了一系列实验，提出了一种效率指标计算方法。该数学方法基于装配阶段间实际时间间隔与预测时间间隔的交并比（IoU）计算。实验结果表明，该方法能高精度追踪手工装配的有效性，且其性能不受装配流程时长影响。