Edge AI in orbit: Sidus Space and Little Place Labs detect ‘dark’ vessels in real time

This technology enables vessel detection, classification, and identification of “dark” vessels involved in illegal activities like piracy or illegal fishing. Insights are delivered within one hour of satellite observation, supporting rapid responses to maritime security threats and supply chain disruptions. 

The collaboration leverages edge computing and AI to provide faster, actionable insights, focusing initially on high-density maritime corridors. 

“We are excited to support Little Place Labs in delivering near real-time maritime intelligence through our LizzieSat constellation,” says Jim Larson, Sidus Space Senior Vice President of AI Strategic Initiatives. “By enabling edge processing in orbit with our FeatherEdge onboard edge computing hardware, we’re reducing the time from data capture to actionable insight, which is critical for operations where every minute counts. This collaboration underscores our commitment to advancing space-based AI and making satellite data more immediate and impactful.”

LizzieSat satellites are equipped with advanced hardware and software, including FeatherEdge edge computing and Cielo for space-based data processing. 

The partnership aims to transform space-based data delivery, unlocking new use cases for maritime operations and national security. 

This deployment validates the industrial edge model extending into low Earth orbit (LEO), blending infrastructure edge and device edge paradigms. It exemplifies how tightly coupled AI and edge compute at the space edge can address global challenges from illegal maritime activity to supply chain disruptions with the responsiveness required by national security and logistics stakeholders.

Article Topics

AI/ML  |  edge AI  |  LEO  |  Little Place Labs  |  Sidus Space  |  Space Edge Computing