Netra AI

For quality and manufacturing teams inspecting products with changing configurations or judgment-based standards, Netra AI helps apply written acceptance criteria consistently without relying only on fixed pass/fail rules. Teams can provide work instructions and good, bad, or borderline image examples, then check inspection results against known historical cases before deployment. Netra evaluates images using tools such as OCR, object detection, segmentation, counting, and measurement, and can consider multiple camera views and production details like product variants or job data. It returns structured judgments with reasons, evidence, and confidence, routing uncertain cases to a person for review. Teams can run it with existing cameras, image folders, or APIs, starting offline or in shadow mode. It is designed for high-mix visual inspection where context and severity matter; fixed, millisecond-speed checks may be better suited to traditional machine vision.

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