IDENTIFICATION OF A PERSON WEARING A PATTERNED HELMET USING DEEP LEARNING

Abstract

 In order to eliminate labor accidents at the construction sites, it is important to implement effective safety management measures. For example, there is a measure that warn a person who enters a dangerous place or contact with construction machines using cameras. Many existing studies have applied deep learning in recent years, which reports that face authentica-tion, gait identification, and human identification lead to results with a higher precision than ever before. On construction sites, however, it may not be possible to apply the existing technology as operators’ clothes tend to be similar to each other and it is necessary to identify construction machines. Therefore, in this research, we focused on the helmet that workers always wear at construction sites, and proposed a method for identifying a person wearing a helmet with pattern using a convolutional neural network for deep learning. Then, we conducted an evaluation experiment of the same method for the learning model of patterns and codes, and prove the applicability of the proposed method for the safety management of construction sites.