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TECHNICAL DISCLOSURE NOTICE: PRIOR ART ESTABLISHMENT

TITLE: Multi-Spectral Imaging Architecture for Co-Indexed Visualization of Deep UV Markings and Long-Wave Thermal Track Impressions

DOCUMENT ID: DEF-PUB-2026-08-02-001

DATE: August 2, 2026

TIMESTAMP: 17:54:00 MDT

1. FIELD OF THE INVENTION

This invention relates to electro-optical imaging, computer vision channel-registration, and non-destructive wildlife tracking. Specifically, it establishes an architecture for capturing and mapping a non-contiguous spectral range from 200 nm to 14,000 nm onto a standard visible display matrix.

2. DETAILED DESCRIPTION OF SYSTEM HARDWARE

The system consists of two structurally independent optical paths configured co-axially or via a calibrated parallel chassis:

A. Deep Ultraviolet to Near-Infrared (200 nm - 1100 nm) Core:

- Sensor: A windowless, backside-illuminated (BSI) silicon CMOS sensor lacking a native UV/IR cut-filter and lacking protective surface borosilicate glass.

- Lens assembly: Constructed entirely of Fused Silica (Quartz) elements to maintain structural transparency below the standard 350 nm optical glass cutoff limit.

- Filtration: A high-speed mechanical filter wheel or optical beamsplitter prism containing bandpass elements centered precisely at 200–400 nm (Ultraviolet spectral capture) and 400–700 nm (Visible spectrum context capture).

B. Long-Wave Infrared Thermal (7,000 nm - 14,000 nm) Core:

- Sensor: Uncooled Vanadium Oxide (VOx) Microbolometer matrix calibrated to measure absolute and relative micro-Kelvin surface temperature variances.

- Lens assembly: Constructed exclusively from Germanium (Ge) crystal optics designed to transmit mid-to-long wave infrared signatures while blocking visible wavelengths.

3. SOFTWARE CORRELATION AND MATRIX RESOLUTION PIEPLINE

Because the respective subsystems occupy distinct geometric coordinate planes and native pixel densities, a mathematical image-processing matrix is implemented natively:

Step 1: Real-Time Spatial Homography Registration

Using a perspective transformations layout, feature descriptors are identified across the visible/UV framework and mapped to the thermal array frame. A 3x3 homography matrix (H) aligns the thermal input coordinates to the structural UV/Visible frame:

[x_aligned, y_aligned, 1]^T = H * [x_thermal, y_thermal, 1]^T

Step 2: Dual-Mode Pixel Mapping Output Configuration

The aligned matrices are synthesized into a digital rendering frame buffer in one of two configurations:

Configuration I: Dynamic Grayscale Alpha Blending

The background visible landscape maps as a standard background layer. Independent, adjustable opacity coefficients (alpha, beta) map the high-contrast monochrome tracking matrices (UV and LWIR) directly into a composite frame buffer, allowing user-toggled intensity visualization of scent markers and footprint paths.

Configuration II: True False-Color Spectral Space Compression

The ultra-wide non-contiguous electromagnetic range compresses natively into a standard 24-bit RGB pixel array via direct hardware channel assignment:

- Hardware Red Pixel Target (R_out) = Normalized Data Stream (7,000 nm to 14,000 nm) [Residual Friction Heat Trails]

- Hardware Green Pixel Target (G_out) = Normalized Data Stream (400 nm to 700 nm) [Ambient Environmental Context]

- Hardware Blue Pixel Target (B_out) = Normalized Data Stream (200 nm to 400 nm) [Hidden Camouflage and Urine Markings]

4. TECHNICAL CLAIMS & DEFENSIVE LEGAL INTENT

The primary architecture describes the mechanical and digital combination of windowless BSI silicon sensors using Fused Silica lenses mapped relative to a VOx Microbolometer layout for simultaneous identification of UV marking anomalies and long-wave thermal footprint tracks. This document acts as an unalterable prior art filing to invalidate closed commercial patent applications targeting this operational workflow.