Question 1

How does the feasibility check work?

Accepted Answer

You describe your inspection problem in plain language. The agent asks the same questions an application engineer would: defect type, smallest defect size, part dimensions, surface finish, line speed. The verdict itself comes from a deterministic optics engine that computes field of view, pixels on defect, lens selection, and motion blur limits against real Overview camera hardware. The AI conducts the interview; the physics makes the call.

Question 2

Will it tell me if machine vision cannot solve my problem?

Accepted Answer

Yes. If a defect is genuinely hard to catch, the tool says the application is worth scoping directly with our engineers and explains what to look at, rather than overpromising. Every real project is validated on your actual parts first.

Question 3

Is the recommendation a quote or a commitment?

Accepted Answer

No. Every positive verdict is conditional on validating with your real parts. Overview evaluates actual customer samples before committing to any application. The feasibility check tells you whether that evaluation is worth doing.

Question 4

Which cameras does it consider?

Accepted Answer

The full Overview lineup: the OV10i and OV20i AI vision sensors, the OV80i AI vision system, and the OVX Acuity 65MP platform, along with their real lens options including telecentric lenses for measurement applications.

Question 5

What happens to what I type?

Accepted Answer

Your conversation is used to run the feasibility analysis and to improve the tool. If you ask for an engineer review, the spec you built is shared with our applications team so they can start from your actual requirements instead of a blank page.

Can Machine Vision Solve Your Problem?

Can machine vision solve your problem?