Definition
Computer vision can identify objects, read documents, detect defects, or classify visual information. Its quality depends heavily on the real conditions of the images it receives.
Why it matters
It can unlock workflows that start with photos, scans, video, or physical inspection rather than structured data.
Business example
A field team extracts equipment readings from photos to prefill an inspection report.
When to use it
Use it when visual input is a dependable part of a recurring operational decision.
When not to use it
Do not use it when image quality is inconsistent and a simple digital form would remove the problem upstream.
How Automathing approaches it
We validate on representative field conditions before integrating visual AI into the workflow.
