Despite crew evacuation, the ship burned for days before sinking entirely, taking with it millions in cargo and triggering fears of environmental contamination. This is not an isolated incident—similar fires have occurred on Felicity Ace and Grande America, highlighting the growing risk of EV-related cargo fires at sea.

The Root Problem: Delayed Detection

By the time flames were visible, it was too late. Traditional CCTV monitoring, human watchkeeping, and basic smoke detectors were unable to detect the early signs of battery overheating. The result? Total loss.

How Dtyle.Ai Can Prevent the Next Morning Midas

 Early Smoke & Heat Detection in Enclosed Decks
Dtyle.Ai uses thermal and visual camera feeds to detect tiny smoke trails, glow, or heat signatures invisible to the human eye, well before traditional detectors react.

Real-Time Alerts
When early-stage combustion is detected, the system triggers alerts to the bridge and the remote operations centre. Crew can respond immediately, quarantining the fire or activating suppression systems early.

Predictive Safety with AI Analytics
Dtyle.Ai doesn’t just detect—it learns. It correlates repeated hotspots and deck zones to predict risky conditions. Over time, it reduces false positives and improves targeting accuracy.

Works With Existing CCTV Infrastructure
No overhaul needed. Our AI integrates seamlessly with your vessel’s existing camera systems, enabling fast and cost-effective deployment.

 Why This Matters

Had such a system been deployed aboard Morning Midas, even 15 minutes of early warning could have allowed for the isolation of the source vehicle and the activation of suppression systems, preventing escalation.

Final Word

Fires like Morning Midas are preventable. In an industry carrying more EVs than ever, we need eyes that don’t blink and systems that never sleep. Dtyle.Ai is your digital crew, scanning every frame for danger before it becomes disaster.

 Contact us today and discover how Dtyle.Ai can safeguard your fleet.