Determination of efficiency indicators of the stand for intelligent control of manual operations in industrial production
This work addresses the need for efficiency assessment before implementing such systems in real production, but it appears incremental as it focuses on a specific calculation method rather than a broader innovation.
The paper tackles the problem of evaluating the efficiency of intelligent control systems for manual operations in industrial production by proposing a methodology based on IoU calculations for time intervals between assembly stages, resulting in high precision in tracking assembly validity that is independent of process duration.
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.