Spectral Imaging Quality Assurance Middleware
SpectrIQ is a closed-loop quality assurance system for hyperspectral and multispectral imaging sensors. It catches bad data in the field before the operator leaves the site — automatically.
The Problem
Saturation, calibration drift, illumination instability, and sensor failures are invisible on any normal preview screen. Defects only appear when an analyst processes the data — days later, after the operator has left the site and recapture is impossible.
Saturation, noise, calibration drift, and lighting instability cannot be detected from a standard RGB preview image or any existing acquisition software.
Failures are caught by analysts days or weeks after capture. The operator is gone. The lighting conditions can't be recreated. Recapture is impossible.
Commercial HSI and MSI software provides acquisition tools but zero automated quality arbitration or recapture decision logic. The gap is unoccupied.
The Solution
SpectrIQ sits between the sensor and the data pipeline — running 41 quality modules on every scan, closing the loop automatically, and giving non-expert operators a plain-language go/no-go decision before they leave the site.
Every scan is checked against 41 modules — exposure and dynamic range, signal-to-noise ratio, calibration drift, spectral shape stability, illumination uniformity, and more. Each module returns a severity rating: advisory, degraded, severe, or fatal.
SpectrIQ doesn't just flag problems — it closes the loop. If exposure is wrong it adjusts integration time. If dark reference has drifted it recaptures automatically. If data is unrecoverable it halts acquisition and alerts the operator before they pack up.
The entire pipeline runs from an external YAML configuration file. Adding support for a new sensor — hyperspectral or multispectral — requires a config file swap, not a code change. One platform, any hardware.
Network Effect
Every camera running SpectrIQ sends anonymous quality telemetry to a central AI platform. Machine learning models derive failure predictions, degradation trajectories, and environmental correlations — distributed back to every deployed sensor as updated configuration parameters.
Prediction accuracy improves monotonically with fleet size. A competitor who builds a standalone QA tool tomorrow cannot replicate this dataset. It only exists because of the network.
The Market
HSI sensors dropped from $200k lab instruments to $10–50k field units. MSI drone cameras are under $5k. Tens of thousands of non-expert operators are now running cameras with no way to know if their data is good.
Go/no-go decisions in contested environments. Failed acquisitions are mission failures, not inconveniences. Immediate operational need across both hyperspectral and multispectral platforms.
185,000+ active MSI drone cameras. Hundreds of flights per season. Missed calibration means a wasted flight and a missed treatment window for the farming client.
FDA audit trails required. SpectrIQ's structured QA output maps directly to 21 CFR Part 11 compliance, positioning it as a compliance enabler rather than a cost center.
Multi-temporal comparability is critical. Planet, Maxar, and others run large MSI constellations where inter-session calibration consistency is an unresolved quality problem.
Get Involved
SpectrIQ is patent pending and in active development. If you operate hyperspectral or multispectral sensors and want early access, or if you're an investor interested in the spectral imaging infrastructure space — we'd like to hear from you.
mhardesty@spectriq.io