Fire Prediction System
iML — AI-Powered Fire Early Detection System for Marine Spaces
Engineering Delivery Standards
VerifiedIntegri Marine
Afloat & Drydock
Turnkey & Spares
Europe • Gulf • India
System Overview & Architecture
Integri Marine delivers complete lifecycle engineering for this system — from conceptual feasibility studies and bespoke hardware integration to afloat or drydock installation and sea-trial commissioning.
Fire Prediction System (iML) is an advanced AI-powered fire prediction and early detection system designed for marine engine rooms and hazardous spaces. It combines thermal, visual, and environmental sensing with local edge AI to identify fire precursors early, enabling graded alerts, 24/7 monitoring, and faster intervention without cloud or internet dependency.
By detecting subtle signs of fire risk before flames develop, Fire Prediction System gives crew critical response time — protecting lives, machinery, and cargo while reducing false alarms and insurance risk.
Need Custom Integration for Fire Prediction System?
Our engineering team provides turnkey support—from conceptual feasibility and system engineering to dockside installation, afloat retrofit, and trial commissioning.
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Fire Prediction System — Frequently Asked Questions
Find answers to common questions. Can't find what you're looking for? Contact our team.
Fire Prediction System (iML) is Integri Marine's AI-powered fire prediction and early detection system designed for marine engine rooms and hazardous spaces. It uses multi-sensor fusion processed by local edge AI to identify fire precursors such as hotspots, smoke, and abnormal temperature patterns before flames develop. This provides crew with critical early warning time to intervene safely.
Conventional ship fire detection systems use fixed-point smoke or heat detectors that only trigger when fire is already established. Fire Prediction System (iML) detects subtle early indicators — including thermal anomalies, pre-smoke particulates, and abnormal gas concentrations — using AI analysis of continuous multi-sensor data streams. This enables graded alerts at the warning stage, long before a conventional alarm would fire, dramatically improving response time and reducing false alarms.
No. iML processes all data locally using on-device edge AI — it does not require internet connectivity or a cloud connection to operate. This makes it fully reliable in engine rooms, cargo holds, and other spaces with no connectivity, and eliminates cybersecurity risks associated with cloud-dependent systems.
iML is designed for installation in marine engine rooms, pump rooms, cargo holds, hazardous spaces, and any area requiring continuous unmanned fire monitoring. Its compact sensor units and edge AI processor can be integrated into new builds or retrofitted to existing vessels without major structural modifications.
iML uses a graded alert system with three tiers: Warning (early anomaly detected — investigate), Alarm (fire precursor confirmed — initiate response), and Critical (fire conditions present — activate emergency procedures). This tiered approach reduces disruptive false alarms, allows crew to investigate early warnings, and ensures the most severe alerts receive immediate, unambiguous action.