Data & AI
InfraLens OCR
Photograph a label and prepare inventory data for review.
What it does
InfraLens OCR uses vision and inference to extract candidate brands, models and serial numbers from equipment images. The goal is to reduce manual transcription and produce structured candidates, with human review before they enter inventory.
Where it can help
Photograph a label during a technical visit and review the suggested model before recording it.
Nothing works in isolation
Its place in
the ecosystem.
These relationships show how workstreams complement each other. Specific connections are validated before each implementation.
Stage and scope
What to
keep in mind.
Accuracy depends on the image and model. AI-read text is not treated as confirmed identification without review.
Documented, with context
Editorial review: November 6, 2026. This page is not a real-time availability monitor. We can coordinate a demonstration according to the environment’s status and the requested scope.
How we present lab work ↗Start with what you need
What would you like
to make possible?
Tell us the problem, your country and what you already have. We’ll define a first version you can understand, test and put to work.