RESEARCH FOR IMPROVING ACCURACY OF HELMET PATTERN EXTRACTION ON IDENTIFYING PEOPLE

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  • 人物識別のためのヘルメット模様抽出の高精度化に関する研究

Abstract

<p> In recent years, along with the promotion of Society 5.0, advanced technologies such as AI and IoT have been introduced in various fields. Contributions to the streamlining of operations and improvement of safety have been expected at construction sites and interest in the development of technologies to manage the positions and status of workers has increased. The authors proposed a method to identify people by focusing on helmets worn by workers and analyzing patterns attached to helmets through deep learning. However, in previous research, thresholds were set for RGB values to extract the pixels of patterns by image processing; therefore, if the colors of patterns change due to sunshine conditions and weather effects, pattern extraction will fail. Thus, this research created a method to extract patterns for general purposes even if scanning is done under various environments using deep learning toward the improvement of the method to identify people. Then, through a demonstration experiment, knowledge was obtained that the proposed method is useful.</p>

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