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The SAFE-AUTO project aims to enhance workplace safety in the automotive industry by developing a machine learning-driven framework that predicts chemical exposures and accidents. This proactive approach seeks to improve compliance with safety standards and reduce risks in complex industrial environments.
Accidents and chemical risks in the automotive industry remain a major challenge, despite strict regulations and standards.
Traditional occupational health and safety (OHS) systems often rely on retrospective analysis and static procedures, which are not sufficient to address emerging risks in complex and dynamic industrial environments. SAFE-AUTO project will develop an innovative, ML/AI-driven decision-support framework to strengthen workplace safety in the automotive sector.
By combining exis…
VSB - TECHNICAL UNIVERSITY OF OSTRAVA
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