Automated real-time detection of operational violations using AI, indicating reduced safety risks in industry.
This paper introduces an AI-powered solution for automated Health, Safety, and Environmental (HSE) compliance monitoring in dynamic industrial environments such as oil rigs and workshops. Our workflow leverages a sophisticated multimodal video analysis pipeline, integrated with Standard Operating Procedures (SOPs), to provide automated, real-time detection of operational violations. A critical advancement is the solution's optimized design for edge deployment, which guarantees robust, real-time, and highly accurate insights. This edge-centric workflow ensures scalability across various industrial applications, effectively mitigating safety risks, substantially reducing the burden of manual inspections, and providing a verifiable, SOP-compliant monitoring framework.
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Srivastava et al. (2025) studied this question.
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