土木分野におけるIoT/AIのあり方（4)

[CS10-29] Development of winter tire automatic discrimination technology

*廣永 厚友¹、全 邦釘²、林 詳悟¹、橋本 和明¹、松田 靖博¹ (1. 西日本高速道路エンジニアリング四国株式会社、2. 東京大学大学院工学系研究科)

Keywords:efficiency improvement, winter traffic restrictions, automatic discrimination, machine Learning, practical realization

As the current winter road surface management problem, winter tire regulations require a lot of labor time such as tire check personnel and traffic control personnel, so labor saving of regulations and efficiency improvement of work itself are required. In order to solve this problem, we have examined automatic tire detection technology for winter, and proceeded with trial introduction and verification on the site to construct a system that does not receive the environment such as dryness, wetness, day or night on the road surface. It has come. This paper reports on winter tire automatic detection technology using artificial intelligence technology.