Person Identification using Video Camera and Deep Learning in Construction Fields

Abstract

Japan has taken the lead to realize Society 5.0 ahead of the rest of the world. This aim at innovations of the fourth industrial revolution (e.g. IoT, big data, artificial intelligence, robot, and the sharing economy) into every industry and social life. Especially in con-struction fields, improving productivity and safety management are expected using IoT and AI. Therefore, we have been focusing on the safety management of construction sites, and then we have proposed a personal identification method by deep learning using patterns on workers' helmets. In the present paper, to apply the past method to actual sites, we devised and evaluated a new correction approach with multiple cameras. Finally, we confirmed that the new method was useful to actual sites.