AI-Powered Fire & Gas Leak Detection for Oil, Gas & Utilities using Computer Vision

Customer Focus

Oil & gas operators, utility providers, and infrastructure owners in India prioritize asset protection, worker safety, and zero-incident operations. Safety heads and operations leaders need early-warning, intelligence-driven detection systems to identify fire, smoke, and gas leaks before escalation. The focus is on real-time visibility, regulatory compliance, and operational continuity in high-risk environments.

Requirements

The customer required the fire and gas detection solution capable of monitoring large open areas such as refineries, pipelines, substations, and flare stacks. The system had to provide early-stage detection, integrate with existing CCTV, thermal cameras, SCADA, and alarm systems, and support continuous, unmanned operations with minimal false alarms.

Conventional fire alarms and gas sensors often triggered late or generated false alarms due to environmental conditions. Manual inspections were risky, time-consuming, and inconsistent. Large coverage areas, harsh weather, and remote locations made continuous monitoring difficult, increasing the risk of accidents, regulatory non-compliance, and costly unplanned shutdowns.

Pain Points

• Delayed incident detection
• High false-alarm rates
• Unsafe manual inspections

Lubi Electronics deployed an AI-powered Computer Vision safety monitoring system using thermal and optical cameras combined with deep learning analytics. The solution continuously detects smoke, fire, and gas leaks in real time, monitors flare stacks and pipelines, and triggers instant alerts via SCADA, sirens, HMI, SMS, and email for immediate

Solution Highlights

• Thermal + optical vision analytics
• Real-time alerts & escalation
• Edge AI for mission-critical latency