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VOLE-Camera
Sensor-native procedural entropy factorization and direct visual materialization.
de Beer, R. (2026). VOLE-Camera: Sensor-Native Procedural Entropy Factorization and Direct Visual Materialization - Broad Prior-Art Technical Disclosure and Research Architecture (Version v1.0). Zenodo. https://doi.org/10.5281/zenodo.22312959
VOLE-Camera is an experimental native-Rust implementation of sensor-native procedural entropy factorization. Its current proof is a deterministic simulated sensor pipeline; physical-camera claims remain unsealed.
VOLE-Camera is a separate research repository from
infinityabundance/vole (VOLE —
Video Object Layer Engine), but conceptually downstream of it. It owns the
camera-specific layer: the sensor sample domain, capture state,
rolling-shutter timing, camera telemetry, calibration state, sensor-space
predictors, a camera-native root seed, and camera-specific evidence. It does
not fork VOLE and does not duplicate its general visual inverse engine.
The research question
How much of a captured sensor stream can be represented economically as persistent deterministic capture state, camera telemetry, reusable visual structure, bounded procedural evolution, and exact predictive models before the residual information dominates? And does starting the representation at the camera preserve useful deterministic state that is lost when sensor observations are first flattened into conventional raster/video frames?
The system is built to be falsifiable, not to demonstrate favorable synthetic examples.
Status
Current head: Phase A / B in progress (see PROJECT_STATE.md). No hardware
code exists yet; it may not begin before the simulator seal (§239). The first
complete deliverable is vole-camera demo, which runs entirely on an ordinary
Linux desktop without a camera (§13).
Prior art
See docs/reread-sources.md for the pinned versions of the sibling research
repositories and the prior-art paper (de Beer, 2026, DOI
10.5281/zenodo.22312959). docs/non-claims.md is the normative statement of
what this project may and may not claim.
License
Dual-licensed under the MIT or Apache-2.0 terms, at your option.