Camera route selector
Use this when the engineering team knows the part and inspection target but not the camera family.
- Inspection goal
- Target size and field of view
- Smallest defect or tolerance
- Line speed and trigger method
Tools
Use these guided checklists to turn camera, lens, lighting, 3D and barcode-reader uncertainty into engineering-ready inputs.
Start here
If the part image is unstable, start with lighting. If the measurement is unstable, start with optics. If the read rate is unstable, start with barcode constraints.
Start guided RFQUse this when the engineering team knows the part and inspection target but not the camera family.
Use this before quoting optics, especially when measurement repeatability is part of the decision.
Use this when image contrast is unstable or the part surface is reflective, dark, transparent or curved.
All selection routes
Use this when the engineering team knows the part and inspection target but not the camera family.
Use this before quoting optics, especially when measurement repeatability is part of the decision.
Use this when image contrast is unstable or the part surface is reflective, dark, transparent or curved.
Use this when height, gap, profile, weld shape or volume cannot be solved with 2D contrast.
Use this when read-rate, traceability and conveyor speed are the main line constraints.
Use this when the factory team has a Keyence, Cognex, Basler, OPT, LMI or DataMan reference model.
RFQ quality gate
A useful request includes part photos, target defect or measurement, field of view, working distance, line speed, mounting limits and any current competitor model. Without those inputs, camera and light recommendations are mostly guesswork.
Tool FAQ
No. They are intake checklists for faster RFQ screening. Final camera, lens, lighting, 3D or barcode reader selection still depends on real part images, tolerances, motion and factory test conditions.
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.
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.
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.
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.