Smearscan
A road-segment analysis service that tests spectral-smear vehicle detections against a validated road-regime corpus and returns counts, motion estimates, coverage, and uncertainty per satellite pass.
Public satellite bands are captured at slightly different times, creating a measurable spectral displacement when a vehicle moves between captures. Academic work and two public repositories support the physics, but the input does not verify the ingestion or road-network interfaces and does not establish production accuracy across road regimes. Smearscan is therefore a benchmark-first road-activity data product: every result carries imagery provenance, coverage limits, validation regime, and confidence rather than presenting an estimate as ground truth.
A geospatial product lead or data engineer at a logistics, infrastructure, risk, or mobility company that needs road-activity estimates outside instrumented corridors.
The public repository and active geospatial tooling create a current validation window.
Imagery processing, segment requests, caching, and delivery scale through software.
The input contains several cross-references but only limited inbound graph support.
Recent public implementation evidence, established physics, a developer-facing shape, and code-scalable delivery support a timely direction.
Both interfaces are unverified, no structural incumbent cost is shown, proposed prices are not market evidence, and accuracy across real road regimes remains the central proof burden.
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