AI and sensing for space inspection
SpaceTech AI is developing approaches that combine multiple sensor measurements and machine learning to support inspection of launch vehicles and launch infrastructure.
Our drone-swarm inspection concept is the subject of a pending U.S. patent application by founder Daniel Singleton.
The current program builds on earlier software work and includes development of a multisensor bench, beginning with composite specimens. Coordinated flight and field inspection remain future development stages.
What evidence would make an AI finding useful to an inspection team?
A sensor reading or an indication in an image is a starting point. Understanding what it means requires information about the material, measurement conditions and the inspection question. We are studying how multiple measurements and software analysis could support that process, including when a finding needs additional examination.
Research in progress
Our planned bench combines visible and thermal imaging with spectral readings and supporting sensor measurements. The study will test what those measurements contribute to identifying material differences and indications of damage.
Our next step is a small bench study using composite specimens with documented defects. We are developing the sensor setup and seeking research partners to help shape the experiment and suitable reference measurements.
Performance on independent specimens and in field inspection has not yet been established.
Read the researchA useful conversation starts with a specific question.
For inspection teams
Tell us about the asset or material, the inspection method you use and a question that remains difficult to answer. We want to understand where further research could be useful in your workflow.
Email about an inspection questionFor researchers and laboratories
We welcome discussions about specimen selection, reference measurements and practical study design. Our proposed contribution centers on sensor measurements and software analysis, with each participant's role agreed as the study takes shape.
Email about a research study
Trustworthy AI for safer space systems
Our mission
To develop trustworthy artificial intelligence for space systems so mission teams can make safer decisions, operate more efficiently, and protect and sustain critical capabilities.
Our vision
A space industry where autonomous systems show their evidence and say when they don't know. We see that applying across launch inspection, range operations and mission assurance.
Founded by Daniel Singleton
Daniel is a space systems engineer and educator with experience in space program analysis. He leads SpaceTech AI's research and development, bringing engineering and teaching experience together around practical questions about AI and inspection.
SpaceTech AI is developing its research program and seeking collaborators for the next stage of work.
Let's discuss the question you're working on.
Contact Daniel Singleton at daniel@spacetechai.com.
For inspection teams, a brief description of your material or asset, current inspection method and question is a useful place to start.
For researchers and laboratories, the specimens or reference methods you work with are a useful starting point.
Email Daniel