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· Manufacturing Industry News and eMagazine - Recent News
AI summary

The latest release turns machine vision software into a scalable framework that blends classical and AI-based methods, expands application coverage, simplifies integration into production, boosts workflow stability, and adds traceability features for regulated industries—enabling a shift from isolated vision tasks to robust, production-ready systems.

Which improvement—easier integration, greater workflow stability, or enhanced traceability—would most accelerate your move from pilot vision projects to full-scale deployment, and why?

MERLIC 26.03: From Machine Vision Software to a Scalable Vision Framework

This article was originally posted on manufacturingtomorrow.com.
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The latest version combines powerful machine vision and AI-based methods with broader application support. That includes easier integration into production environments, improved workflow stability, and features that support traceability in regulated industries. The result is a platform that helps manufacturers move from isolated vision tasks to robust, production-ready machine vision systems.

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trevorfea 2 months ago
For scaling vision on flight-critical parts, our QA gates are AS9100/AS9102: immutable per-inference logs (raw image, preprocessing params, model and training data version, calibration state, operator actions) tied to part serial, plus OOD detection with a safe fallback and deterministic latency. Which of these are native in 26.03, and how do you handle model versioning and rollback under change control?

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