Maintaining and servicing satellites in orbit is currently expensive and complex, requiring significant manual intervention and custom solutions for each spacecraft. The lack of standardized tools and autonomous capabilities increases operational costs and limits the lifespan of valuable space infrastructure.

Translunar is developing a centralized spacecraft network designed for autonomous maintenance, inspection, and refueling of satellites. Their core technology, the Autonomous Computer vision Embedded Camera (ACECam), is a compact, modular subsystem that provides precise relative navigation, pose estimation, and docking automation. By leveraging AI/Computer Vision, advanced optical navigation, and high-fidelity dynamic models, Translunar enables on-board mission assurance and reduces the need for human intervention. The ACECam system is designed for easy integration with various satellite systems, facilitating independent operation and extending the longevity of space-based assets.

ACECam: A stand-alone 1U subsystem with visible camera sensors and processors

Customizable computer vision models for relative state measurements

Real-time target detection and tracking, delivering full pose information

Autonomous pose estimation to determine the relative position and orientation of spacecraft

Docking automation capabilities for dependable in-space command and control

Advanced guidance, navigation, and control (GNC) for proximity operations and formation flying

Translunar's primary customers are commercial and government space infrastructure operators seeking to reduce operational costs and extend the lifespan of their satellite assets.