Abstract
Decommissioning of the Fukushima Daiichi nuclear power station (NPS) is an unprecedented effort in which the entire plant was contaminated with radioactive materials from the accident and radiation dose levels were not low. The decommissioning workers in these sites are indicated to wear personal protective equipment (PPE) properly for radiation protection. In response to the difficulties of on-site PPE management in decommissioning site of Fukushima Daiichi NPS, this paper presents a graph-based scene understanding approach that automatically identifies whether workers at a decommissioning site are using PPE properly. The experimental results demonstrate that the high precision and high recall of the model can effectively detect decommissioning workers’ failure use of PPE and can facilitate improved safety inspection and supervision.
