Improving Workplace Safety With AI-Powered Predictive Analytics
分析
预测分析
计算机科学
数据科学
心理学
作者
Seema Babusing Rathod,Rupali Atul Mahajan,Prajakta Ajay Khadkikar,Harsha R. Vyawahare,Purushottam R. Patil
出处
期刊:Advances in computational intelligence and robotics book series [IGI Global] 日期:2024-01-19卷期号:: 232-249被引量:5
标识
DOI:10.4018/979-8-3693-1435-7.ch014
摘要
In today's technology-driven era, workplace safety remains a paramount global concern. To proactively prevent accidents, mitigate risks, and ensure employee well-being, this chapter introduces the research project 'AI-Driven Predictive Safety Analytics Enhancing Workplace Security'. This initiative leverages artificial intelligence (AI) and data analytics to transform occupational safety. By harnessing historical incident data, real-time monitoring, and advanced machine learning, it aims to create a predictive safety system that identifies and pre-empts potential hazards. Anticipated outcomes include a more secure work environment, reduced accidents, improved well-being, and enhanced efficiency. Empowering decision-makers with actionable insights, this approach enables data-driven, proactive choices, setting the stage for a safer workplace future through cutting-edge technology and data-driven insights.