What this page should help engineering teams decide.
- 2D is faster and simpler when contrast is enough.
- 3D is useful for height and shape problems.
- Many projects combine 2D location with 3D measurement.
Selection guide
2D vs 3D Machine Vision
Compare 2D and 3D inspection methods for defects, dimension, height, volume and surface geometry tasks.
2D vs 3D Machine Vision diagram
Product families commonly involved.
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 RFQGuide FAQ
Questions related to 2d vs 3d machine vision.
How should I use this 2d vs 3d machine vision 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.