This autonomous surface drone is equipped with a Korean-developed Warboy NPU, AI vision cameras, LiDAR, and a modular docking station, designed specifically for challenging coastal and marine environments. It collects floating debris and oil spills while streaming real-time video via 5G connectivity.

The system’s proprietary on-device AI and advanced sensor fusion allow for low-latency, autonomous decision-making without reliance on cloud infrastructure. This enhances both operational stability and cybersecurity, even in low-connectivity or emergency situations.

Built with an IP-rated, impact-resistant chassis, the drone is modular and scalable, supporting multi-unit deployment for public safety, marine surveillance, and environmental remediation. Its robust design ensures reliable performance in high-wave or harsh weather conditions.

Key benefits include reduced operational costs, faster emergency response, and measurable ESG improvements. With its export-ready architecture and intelligent capabilities, this next-generation marine robot offers a practical, high-impact solution for smart cities, coastal regions, and global environmental management.

Key Features:

• On-device AI for recognition, decision-making, and control, no external network required
• Real-time detection and response to marine pollution and coastal disasters
• Autonomous navigation with obstacle avoidance in dynamic marine environments
• Modular and portable design suitable for deployment in remote or low-connectivity regions

These autonomous marine robots are designed for efficient recovery of floating pollutants across a wide range of aquatic environments, including rivers, streams, reservoirs, ports, and open oceans. They are capable of collecting various forms of waste, such as high-viscosity low sulfur fuel oil (LSFO), low-viscosity heavy fuel oil (HFO), diesel, and surface microplastics ranging from 0.001 to 5 mm in size.

Ideal for both routine environmental monitoring and emergency response, the system can be deployed by municipalities, harbor authorities, environmental agencies, disaster response teams, and industrial operators. Its versatility and real-time AI-based operation make it suitable for use in coastal clean-up campaigns, oil spill containment, ESG initiatives, and smart city sustainability programs, especially in areas with limited infrastructure or unstable communications.
 

This technology offers a breakthrough solution for marine pollution control by combining on-device AI, real-time sensing, and autonomous operation in a compact, network-independent platform. Unlike traditional systems that depend on external servers or manual oversight, our robot processes visual and environmental data locally, enabling immediate recognition and response to pollutants, including in dynamic conditions with waves, currents, or low visibility.

The system’s ability to operate independently of cloud connectivity ensures reliable performance even in remote or disaster-affected coastal zones. A key differentiator is its multi-unit control feature, which allows a single smart device to manage several robots simultaneously. This significantly enhances operational scalability, reduces labor intensity, and enables efficient coordination during large-scale cleanup missions.
Altogether, it delivers a cost-effective, flexible, and export-ready solution for governments, ports, and environmental agencies committed to ESG goals and resilient marine infrastructure.

• Marine Environmental Service Providers: Companies engaged in marine pollution control, water surface cleaning, oil spill response, and recycling services that can integrate our solution into their operations for improved efficiency and scalability.

• Government Agencies and Public Authorities: Municipalities, coastal protection units, environmental departments, and disaster response teams seeking innovative, cost-effective tools for sustainable marine waste management and ESG-driven initiatives.

• Technology Co-Development Partners: Organizations or research institutes specializing in environmental sensing, pollutant recognition, or robotics, interested in co-developing complementary technologies such as advanced pollutant identification systems, enhanced navigation, or adaptive response algorithms.