Abstract
In recent years, effective safety management measures based on the Internet of Things (IoT) have been established to prevent industrial accidents in construction sites. In response to these efforts, technologies that use object detection methods to obtain the location information of workers and construction vehicles can contribute toward safety management. However, it is difficult to detect workers and construction vechiles from video images by object detection methods in construction site where dangerous areas are constantly changing due to their coexistence. Therefore, the application of deep learning can be considered, but in order to detect them accurately, it is necessary to update the detection model specialized for construction sites. However, it takes a lot of cost to manually create a training data for constructing model. Therefore, in this research, we propose an automatic generation method of training data for deep learning to realize high-precision for detecting workers and construction vehicles in construction sites. Experiment was performed with application of the proposed system to the video data at construction site, and its usefulness was confirmed.
