Hybrid AI-IoT System for Real-Time Worker Safety and Hazard Detection

Author(s)	Mr. Rohan Kadam, Ms. Ashwini Kalekar, Ms. Saniya Tamhane, Prof. Priyanka Bramhane
Country	India
Abstract	This paper introduces a Hybrid AI-IoT system for real-time worker safety and hazard detection in industrial environments. The system combines wearable IoT sensors and AI analytics to monitor physiological and environmental conditions, detect anomalies, and predict potential hazards. By processing data both at the edge and in the cloud, it ensures faster responses and fewer false alarms. Experimental results show that the system is accurate, reliable, and cost-effective for industrial safety applications.
Keywords	AI-IoT, Worker Safety, Hazard Detection, Edge Computing, Industrial Automation, Machine Learning
Field	Engineering
Published In	Volume 16, Issue 4, October-December 2025
Published On	2025-10-31
DOI	https://doi.org/10.71097/IJSAT.v16.i4.9165
Short DOI	https://doi.org/g99qms

About IJSAT Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us	Message on WhatsApp	+91-9687-182-185	editor@ijsat.org

International Journal on Science and Technology