Securing Worker and Heavy Equipment Safety in Shipyards: A Study on Collision Prevention AI Systems
Open Access
Article
Conference Proceedings
Authors: Ji-yeon Kim, Ki-hwan Kim, Young Jin Kang, Seok Chan Jeong
Abstract
Accidents between heavy machinery and workers frequently occur in shipyards, leading to severe casualties. To address this issue, this study developed and evaluated an AI-based collision prevention system that can enhance safety between heavy machinery and workers in shipyards. We utilized the shipyard environment in Korea to train an AI model with GPS data from workers and key heavy machinery. The AI model demonstrated the ability to predict collisions with an accuracy exceeding 90% during tests. This research suggests the potential for innovative improvements in safety management in shipyards and anticipates more advanced results with future on-site applications.
Keywords: Shipyard, Collision Prevention, AI
DOI: 10.54941/ahfe1005547
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