AI-Powered Occupational Health Surveillance System (AI-OHSS) for Enhanced Worker Safety in Aluminum Smelters
SUBHASRI S NAYAK
The primary aluminum smelting industry poses significant occupational health and safety (OHS) risks, including exposure to high heat, noxious fumes (e.g., fluoride, sulfur dioxide), molten metal, and strenuous physical labor. Traditional OHS methods are often reactive. This paper proposes the AI-Powered Occupational Health Surveillance System (AI-OHSS), a novel, proactive, and real-time monitoring system utilizing the Internet of Things (IoT) and Machine Learning (ML). AI-OHSS integrates data from wearable biometrics, environmental sensors, and visual analytics to provide comprehensive surveillance. The system is designed to detect and predict immediate hazards (e.g., heat stress, gas leaks, fatigue) and long-term health risks, significantly enhancing worker safety and well-being in the potroom and casting areas.