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Connecting CAD, Field Vision, and Physical Systems Through STX

A Stratic Systems research proposal for using STX as a portable engineering context package between CAD-derived physical knowledge and field vision systems.

Jeffery C. Wheat8 min readStratic Systems Research Note

RESEARCH QUESTION

How can a field AI system know what engineering expects to exist without requiring the entire CAD environment beside the camera?

WORKING THESIS

STX is being explored as a portable engineering-context package: enough geometry, identity, relationships, provenance, and metadata to let field systems reason against CAD-derived knowledge while keeping the source engineering environment separate.

01

The digital model and the physical object are often miles apart

A CAD assembly may exist on an engineering workstation while the physical system exists on a factory floor, job site, customer location, or mobile device. The camera that observes the object usually does not have the native CAD application, full project vault, or engineering workstation beside it.

That separation creates a context problem. Computer vision can detect shapes and objects, but it may not know which engineered entities are expected, how those entities relate, which variations are valid, or what source geometry supports a match.

The research question is how to carry enough engineering context to the field without carrying the entire engineering environment.

02

STX as an engineering-context package

STX is a Stratic Systems research format under development, not an industry standard. Its proposed role is to package a controlled representation of engineering context for use outside the originating CAD system.

The package can contain stable entity identity, normalized geometry or geometric descriptors, assembly relationships, coordinate frames, metadata, provenance, and optional visualization assets. The exact schema should remain versioned and extensible as real use cases expose what information is necessary.

The design principle is separation: the field system receives the context required for its task without automatically receiving the complete source project or proprietary CAD history.

Portable subset of engineering knowledge
Stable identities for expected objects
Canonical geometry and spatial relationships
Source and version provenance
Optional visual representation for field interfaces
Explicit package version and capabilities

03

Vision should observe; geometry should verify

Field vision and deterministic geometry solve different parts of the problem.

A vision model can propose that a camera observation resembles a known component. Geometry-derived descriptors can then help verify whether dimensions, proportions, feature placement, orientation, or relationships are consistent with the expected entity.

The architecture should preserve both results: what the vision system observed and how strongly the engineering representation supports or contradicts the match.

04

A possible field loop

The first useful loop does not require a robot. It can be a controlled camera experiment with a small physical assembly and known engineering ground truth.

Export a controlled assembly representation from the engineering environment.
Package the required entity, geometry, relationship, and provenance data into STX.
Load the STX package into a local field-vision application.
Observe a physical component or assembly through a camera.
Generate candidate identity matches from vision.
Compare those candidates against deterministic engineering descriptors.
Return the identity, supporting evidence, and unresolved uncertainty to the user.

05

This extends the digital thread into observation

NIST's digital-thread research focuses on linking authoritative product information across design, manufacturing, and inspection. Related NIST test-bed work has examined cyber-physical infrastructure connecting CAx environments with manufacturing systems through product models.

STX explores a narrower question inside that larger direction: what portable representation is useful when an AI or vision system needs engineering context at the point of observation?

The goal is interoperability of understanding rather than remote control of the original CAD application.

06

Security and provenance are part of the format

A portable engineering package should make its boundaries explicit. The receiver should be able to determine who or what created the package, which source version it represents, which entities are included, and whether the package has been modified.

Future work may include signing, integrity verification, access policy, selective disclosure, and stronger provenance mechanics. Those are research requirements rather than finished claims.

This is especially important if STX eventually moves between organizations, devices, autonomous systems, or inspection workflows.

07

The larger objective

The long-term value of STX is not the file extension itself. It is the ability to separate engineering knowledge from one application session and make a controlled portion of that knowledge available to other intelligent systems.

If a camera, mobile device, local AI model, inspection station, or future robot can understand the same entities and relationships established by the engineering system, CAD stops being only a design artifact. It becomes a source of physical context.

That bridge—from engineering definition to physical observation—is one of the key requirements for practical physical intelligence.

KEY TAKEAWAYS

01

STX is a Stratic Systems research format under development, not a public industry standard.

02

Its proposed role is to carry controlled engineering context from CAD-derived systems to field and vision applications.

03

Vision confidence and deterministic engineering evidence should remain separate and inspectable.

04

The first validation path can be a controlled camera experiment before progressing toward robotics or autonomous action.

CONTINUE THE RESEARCH

Engineering evidence first. Reasoning and action built above it.