Computer vision for microvia analysis. Sub-micron measurement precision. Real-time IPC compliance validation for defense and aerospace manufacturing.
CNN trained on 50,000+ microvia images. Detects barrel cracks, voids, copper separation, and plating anomalies at 0.1um resolution.
Automated validation against IPC-6012 Class 3. Wall thickness, annular ring, voiding ratio with full audit trails.
Dynamic ratio calculations for knee copper, barrel fill, and dielectric thickness against military-grade thresholds.
Compliance documentation generation with measurement data, pass/fail determinations, and inspector signatures.
Sharp-based computer vision pipeline with adaptive multi-modal detection. Sobel edge detection, Otsu thresholding, morphological cleaning.
42-class CNN classifier with MobileNetV2 backbone. Barrel cracks, copper voids, delamination, plating anomalies, and more.
Dynamic ratio engine for knee copper, barrel fill, dielectric thickness. Confidence intervals with statistical validation.
IPC-6012 Rev F compliance. Automated pass/fail against Class 2 and Class 3 thresholds with full audit documentation.
Our engineering team will demonstrate the platform capabilities including real-time analysis, compliance validation, and report generation.