Deyi Vision Machine Vision Engineering Request RFQ

Selection guide

Machine Vision Camera Resolution Calculator

Estimate camera resolution from field of view, smallest feature size and measurement tolerance before selecting a sensor.

Key takeaways

What this page should help engineering teams decide.

  • Start with the smallest feature or tolerance.
  • Field of view drives pixel size.
  • Resolution alone does not solve lighting or lens limits.

Guide to RFQ

Have a real part, sample image or production constraint?

Use the guide to frame the question, then send the details so engineering can recommend a route.

Request engineering RFQ

Guide FAQ

Questions related to machine vision camera resolution calculator.

Ask engineering
How should I use this machine vision camera resolution calculator guide before RFQ?

Use it to collect the application constraints before asking for hardware: target part, defect or measurement, line speed, field of view, working distance, lighting limits and any current reference model.

What information should I send before requesting a machine vision quote?

Send part photos or drawings, target defect or measurement goal, field of view, working distance, line speed, accuracy target, lighting limits and any current camera, lens, light, barcode reader or competitor model.

Do I need a 2D or 3D machine vision system?

Use 2D when contrast, edges, labels or position are enough to judge the part. Use 3D when height, profile, gap, volume, weld shape or surface geometry decides pass or fail.

How should I choose machine vision lighting?

Start from the defect and material surface instead of the camera model. Backlight helps edge measurement, coaxial and dome lighting help reflective surfaces, and bar or ring lighting often works for general presence and defect checks.

Can Deyi Vision support projects that reference Keyence, Cognex or other brand routes?

Deyi Vision is not affiliated with those brands. As a factory-direct machine vision source, we can map the inspection goal, model reference and production route to a component-level camera, lens, light, reader or smart-camera selection.