The Last Mile of Maritime Safety

Scaling embedded AI to eliminate navigational blind spots in commercial shipping


AAEON uses embedded edge AI to enhance near-field visibility, detect hazards, and improve navigational safety for commercial vessels.
The High-Stakes World of Commercial Shipping
Global Trade by Sea

80% of worldwide goods are transported by sea.

Congested Shipping Corridors

High traffic density increases the risk of collision in busy seaways and ports.

Near-Field Blind Spots

Traditional systems miss small objects that appear suddenly in close proximity.

Navigational Obstruction Risk

Small vessels, debris, and low-RCS targets can lead to costly incidents.

Where Standard Instruments Fail
AIS

Misses smaller fishing boats and non-commercial vessels.

Radar

Low-RCS objects and debris are difficult to detect. No behavioral context.

THE SOLUTION
Edge AI Vision

Identifies, classifies, and tracks small vessels and low-RCS hazards in real time—closing the blind spots left by traditional systems.

  • Real-time Detection
  • AI Classification
  • Multi-Object Tracking
  • Multiple-Angle Awareness
The Embedded Decision Node: BOXER-8658AI

To bridge the gap in maritime situational awareness, a leading organization deployed the AAEON BOXER-8658AI as the cognitive engine for a fleet-wide, AI-driven safety system.

100 TOPS

AI inference engine

Rugged Hardware

Reliable Onboard Operation

Multi-Camera

PoE support

Requirement BOXER-8658AI Spec
Retrofit existing IP cameras 8x Multi-PoE LAN Ports
Real-time low-latency analytics NVIDIA Jetson Orin NX, 100 TOPS
GNSS/IMU sensor ingestion Multifunction sensor interface header
High-vibration onboard operation MIL-STD shock, -15°C to 60°C, 9–36V input
The Friction of Scaling: Two Critical Barriers
The Time Deficit
Importing proprietary AI software components and dependencies took 2–3 hours per unit . At fleet scale, this manual field implementation was logistically impossible.
The Security Risk

Deploying highly valuable, proprietary AI intellectual property onto mobile, remote vessels created severe vulnerabilities regarding data protection and unauthorized access .

Eliminating 2–3 Hours of Field Setup Per Unit

AAEON engineered a manufacturing-integrated solution that ships hardware ready to deploy — zero field setup required.

AAEON Workflow — 3 Steps
  1. Custom cloning tool integrated into AAEON's production line
  2. AI software pre-installed onto NVMe module in M.2 2280 M-Key slot
  3. Hardware ships ready to deploy
Securing the Edge: Full Disk Encryption

AAEON engineered a customized OS image with Full Disk Encryption (FDE) — a failsafe against unauthorized extraction or tampering of proprietary AI models while vessels are at sea.

Synthesizing Sensor Data into Collision Alerts

The BOXER-8658AI fuses high-res IP camera feeds (PoE LAN) with GNSS & IMU positioning data (UART/I2C). The NVIDIA Jetson GPU executes multi-object tracking and calculates time-to-collision — delivering alerts to bridge displays, dashboard panels, and alarm buzzers via Digital I/O.

Technical Engine
  • NVIDIA Jetson Orin NX (100 TOPS)
  • 8x PoE Ports
  • GNSS/IMU integration
Scalable Edge AI

Raw computing power detects the hazard; secure, zero-touch deployment ensures the system reaches the fleet.

Operational Engine
  • Factory-level software cloning
  • NVMe M.2 integration
  • Custom OS Full Disk Encryption
Delivering Near-Field Visibility — Proven at Scale
100K+ Instances Identified

Small vessels, debris, and low-RCS obstacles since market launch. Validates the NVIDIA Ampere GPU vision model over traditional radar.

Units Deployed

Mass-production units across a geographically diverse client base. Proves reliability of ruggedized MIL-STD hardware.

Hours Saved Per Unit

Complete elimination of the 2–3 hour manual field software setup via AAEON's manufacturing cloning workflow.

BOXER-8658AI