Aircraft windows are transparent, curved, multi-layered, and highly polished, introducing inspection issues that standard systems miss.
Defects can vanish without the right illumination path and background control.
Specular surfaces & AR/conductive coatings mask sleeks, pits, and stains.
Thickness gradients cause refraction and double imaging, shifting apparent defect positions.
Hide sub-surface flaws (bubbles/seeds, delamination) unless lighting is carefully controlled.
Conductive films add patterns that can be mis-classified as defects.
Fastener zones & sealant boundaries are hard to illuminate and easy to miss.
Our solution combines precision optics, application-specific lighting geometry, multi-axis motion, and Live Vision AI to detect micro-defects and validate geometry.
Matched to part size, shape, and layer stack with low-angle oblique bars, collimated backlight, and dome/coaxial illumination.
Trained on aerospace datasets to ignore heater wire patterns and structured reflections while detecting true defects.
Detects <10 µm scratches/pits on flats and ≈20–30 µm on large curved transparencies.
Comprehensive defect detection across all critical areas of aircraft transparencies.
For every PASS transparency, Intelgic issues a digital, shareable, tamper-evident record of inspection results.
Yes. The AI is trained on heater wire geometries and uses frequency/shape cues to prevent false positives; low‑angle dark‑field isolates true micro‑scratches.
Multi‑angle and dual‑side illumination accentuate interlayer anomalies such as bubbles, seeds, and early delamination for targeted review.
Optionally, a deflectometry module produces reflection‑based slope/cosmetic maps to support process tuning and acceptance decisions.
With multi‑axis rails/gantry and soft‑nest or vacuum fixtures that stabilize the part while keeping optical surfaces safe.
Per‑part DQC, shift/day reports, defect Pareto, and full audit logs with user actions; secure sharing for OEM/MRO stakeholders.
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