Autonomous Military Robotics and Technologies | Amphibious Tracked Vehicles
IQNS Mini Edge Processing Unit Navigation & autonomy platform for small underwater robots
IQNS Mini Edge Processing Unit

Navigation & autonomy platform for small underwater robots

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IQNS Mini Edge Processing Unit

Greensea IQ's IQNS Mini is a complete GNCC (guidance, navigation, command, and control) platform for underwater robotic vehicles, based around the NVIDIA Orin NX edge computing module. Based on proven OPENSEA software, the low-SWaP module brings powerful AI and machine learning capabilities to small vehicle platforms, enabling a range of applications including automatic target recognition, obstacle avoidance, and target tracking.

Multiple units can be daisy-chained together to enhance processing power for additional payloads on the same navigation, control, and autonomy bus. Optional mounting kits are available for easy integration into ROVs.

Specifications:

Dimensions (L x W x H): 4.49 x 4.49 x 2.78”
Weight: 955g (Air)
280g (Water)
Depth Rating: 1000 m
Processor: NVIDIA Orin NX, 16GB
100 TOPS
1024-core NVIDIA Ampere architecture CPU with 32 Tensor Cores @ 918MHz
DL Accelerator: 2x NVDLA v2
Vision Accelerator: 1x PVA v2
Storage: Solid State Drive, 1TB
Host Connection Port: 24V DC 1A max (Excluding DVL)
Ethernet (100 Mbit/s)
MCLPIL9M on 20” cable
Expansion Port: 24V DC (Pass-though)
Ethernet (100 Mbit)
MCLPIL9M on 20” cable