AI‑Powered Site Safety System

Founded in 1973, NMDC Energy (formerly NPCC) is a leading EPC provider for onshore and offshore oil & gas. With over 18,000 employees, 2.1M m² fabrication yards and international engineering centres and Procurement offices, it delivers complex projects across MENA and South Asia, advancing innovation and the energy transition. Merged with NMDC Group in 2021, expanding reach.

In 2025, NMDC Energy has delivered a step-change in industrial safety by developing and deploying an AI-Powered Site Safety Monitoring System that combines high-precision computer vision with language-driven contextual reasoning to detect, interpret, and escalate hazards in real time. Built on a proprietary dataset of over one million annotated frames from NMDC fabrication yards, the computer vision engine attains >97% precision and recall across 25 defined hazard classes while maintaining a median inference latency of 0.22 seconds, enabling near-instantaneous situational awareness across complex, dynamic worksites.

Beyond pixel-level recognition, the platform integrates a Vision-Language Reasoning Layer (V-LLM) that maps natural-language safety rules to visual scenes. This multimodal layer reasons about task context, sequencing, and environmental conditions-identifying nuanced risks such as lone workers in low-visibility zones, improper guardrail placement during staged lifts, slip hazards from stagnant water after maintenance, and fatigue-related postures that precede manual-handling incidents. By moving from object detection to contextual interpretation, the system captures high-risk scenarios that conventional CV systems routinely miss and enables rule-driven escalation workflows that align with HSE protocols.

Operationally, NMDC Energy implemented the solution across multiple EPC sites and integrated it into an in-house Safety Command Center. During a 24-hour live evaluation the system detected 37 unique hazards with zero missed critical events and a false alarm rate below 0.3%, validating both precision and practical utility. Over the first 90 days of scaled deployment across three pilot sites,

the platform contributed to a 65% reduction in high-risk exposures and a 30% decrease in recordable incidents, demonstrating rapid, measurable risk mitigation. The automated monitoring capability replaced an estimated 25,000 manual audit hours per project, enabling HSE teams to shift from continuous surveillance to targeted prevention and corrective action.

Financially and commercially, the program reduced insurance premiums and claims by 22%, producing an estimated 5× return on investment within the first year through lower incident costs, reduced downtime, and streamlined compliance reporting. The system's auditable event logs and time-stamped video clips have strengthened client confidence and accelerated decision cycles for project leadership, enabling faster resource allocation and more defensible contractual performance metrics.

Technically, the solution is designed for adaptability and scale: a modular deployment architecture supports rapid roll-out across fabrication yards, onshore EPC sites, and offshore platforms; an automated retraining pipeline ingests new site data to continuously refine models; and a configurable rule engine allows clients to encode site-specific safety policies into the V-LLM. This combination ensures the platform remains effective as tasks, equipment, and regulatory requirements evolve.

Stakeholder impact is tangible: frontline workers benefit from fewer exposures and faster hazard remediation; HSE teams gain continuous, auditable evidence and reclaimed capacity for proactive interventions; project managers receive real-time risk dashboards that inform scheduling and resource decisions; and clients and insurers obtain demonstrable reductions in incident risk and total cost of ownership. The initiative has also earned external recognition for its technical and operational excellence, receiving industry awards including IPLOCA and the Asian Power, Oil & Gas Awards, underscoring its regional and sectoral leadership.

By delivering contextual, language-aware safety intelligence at industrial scale, NMDC Energy has transformed safety management from episodic compliance into predictive assurance-protecting people and assets, reducing costs, and setting a new benchmark for AI-driven industrial safety.