2024 年 90 巻 2 号 p. 224-232
The objective of this study is to propose, implement, and evaluate a human-detection-based work time measurement method for a multi-product assembly and machining process with a small number of workers, where the work content and work location match and the work time and dwell time at the location also match. The system measures the work time based on the time spent in the work area when the Intersection over Union (IoU) between the pre-defined work area rectangle and the human detection rectangle exceeds a threshold value. A packaged system centered on a single-board computer was developed for on-site operation based on the basic concept of "anyone," "anywhere," and "easily". Trial experiment were conducted by the developers and actual operation experiment were conducted by manufacturing workers, on the constructed system. In the trial experiment, precision, recall, and accuracy all exceeded 90% as a result of the work time measurement. However, in the actual operation experiment, the results of work time measurement showed that precision and accuracy were above 90% and 80%, respectively, while recall was significantly lower, at 3.3% in the lowest case. This decrease in recall is due to the oversight of the work condition, which is mainly caused by the failure of human detection, and can be improved by changing the location of cameras or increasing the number of cameras. Overall, the results suggest the effectiveness of a work time measurement method based on human detection and a packaged system that implements the method.