AI search-based hazard prediction AI system
A case aimed at building a risk prediction AI system that visualizes risks during the input of work plans!
We will introduce a case study of AI search utilization from another company. Danger Prediction AI from a chemical materials manufacturer (Asahi Kasei) The company faced challenges such as the limitations of a safety management system that relied on the danger prediction abilities of experienced workers in chemical plants. After implementation, they achieved a strengthened safety management system and improved work efficiency by 1,200 hours annually. 【Case Overview】 ■ Background - A 34% turnover rate among veteran workers over the past five years, with a sharp increase in near-miss incidents. ■ Results - The number of serious accidents decreased by 67% compared to the previous year. - Danger prediction judgments were reproduced with 92% accuracy. - The risk assessment time for reaction tank cleaning tasks was reduced from 45 minutes to 8 minutes. *For more details, please download the PDF or feel free to contact us.
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