An AI-based Approach to Labour Safety Management System: A Case Study in a Manufacturing Industry

Avinash Nagargoje; Dikshant Somkuwar; Himanshu Kamble; Kaustubh Matte; S. M. Gaikwad1

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Publication Date: 2023/06/01

Abstract: The use of Artificial Intelligence (AI) in labour safety management systems has the potential to revolutionize the way companies approach workplace safety. This paper presents an AI-based labour safety management system that collects and analyzes real-time data from various sources to detect potential hazards and prevent accidents. The system also provides valuable insights into the root causes of accidents, which can help companies implement targeted training programs and safety measures to prevent similar incidents in the future. A manufacturing industry case study is presented to demonstrate the system's effectiveness. The results show that the AI-based approach significantly reduces the number of accidents and injuries in the workplace

Keywords: Labor Safety Management System, Artificial Intelligence, Machine Learning, Real-Time Monitoring, Data Analytics.

DOI: https://doi.org/10.5281/zenodo.7992755

PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23MAY909.pdf

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