iML

iML is Integri Marine's AI-powered fire 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. 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.