Darya Shipping

Darya Shipping partnered with Stackfusion to deploy an AI-powered surveillance and safety monitoring system on Marina, a 42-million-tonne LPG carrier. Designed for harsh maritime conditions, it enables continuous video monitoring, automated incident detection, and real-time alerts with minimal infrastructure changes. The project was managed by Orion Credence Solutions, Darya Shipping’s premier marine technology partner.

24x7
Real-time video monitoring across critical ship zones
50-60%
Faster incident detection and response time
70-80%
Reduction in infrastructure cost and time saving

Smarter Maritime Surveillance
for Darya Shipping

Business Challenge

Traditional ship surveillance is rigid and unintelligent, limiting safety on vessels like Marina.

High cost and complexity of laying new network cables

Dependency on specialized installation vendors

Extended docking periods impacting vessel availability

Limited intelligence beyond passive video recording

Difficulty in scaling or upgrading systems post-installation

The client required a non-intrusive, intelligent, and future-ready architecture aligned with enterprise operational and safety objectives.

Solutions provided by Stackfusion

Stackfusion deployed Voyedge, an AI-enabled ship surveillance and safety monitoring platform designed for rapid deployment and intelligent operations.

  • Deployment of high FPS industrial-grade cameras at critical locations
  • Camera selection optimized for AI inference accuracy and harsh maritime conditions
  • Supports detection of fast-moving events and low-visibility incidents

  • Utilizes existing 110V AC power cables as the data transmission medium. Compatible with 220V and 440V AC power lines.
  • PLC-based hub-and-spoke architecture connecting cameras to onboard monitoring system
  • Eliminates the need for additional Ethernet or fiber cabling
  • Enables rapid deployment and simplified maintenance
  • Edge-based AI models perform real-time image recognition and video analytics
  • Detection capabilities include:
    • Oil leaks and fluid spill incidents
    • Fire and smoke events
    • Safety compliance violations (e.g., missing helmets or PPE)
    • Maintenance activity tracking and schedule adherence
    • Smoking or prohibited activity in restricted zones
  • Automated capture of incident images and operational statistics

  • Live video feeds accessible from the vessel’s monitoring center
  • Incident data, images, and statistics transmitted to onshore locations via secure internet connectivity
  • Real-time alerts delivered to Vessel staff, Onshore operations and safety teams

Impact Across Operations & Experience

Business Impact

Substantial reduction in installation time and infrastructure cost

Enhanced real-time situational awareness onboard and onshore

Faster detection and response to safety and maintenance incidents

Improved adherence to operational safety protocols

Scalable architecture supporting future expansion and additional analytics use cases

Conclusion

Stackfusion demonstrates how AI-driven video intelligence combined with non-intrusive connectivity technologies can deliver enterprise-grade surveillance and safety monitoring in complex marine environments. The solution provided Darya Shipping with a robust, scalable, and operationally efficient platform aligned with modern maritime safety and compliance standards.