Resolution / FOV calculator
Estimate the minimum camera class from FOV and smallest feature.
Use this for early screening only. Lens quality, lighting contrast, exposure and sample evidence still decide the final camera route.
Tools
Machine vision selection tools for cleaner RFQ handoff.
Use these guided checklists to turn camera, lens, lighting, 3D and barcode-reader uncertainty into engineering-ready inputs.
Start here
Choose the constraint you know best.
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 RFQ Route 01
Camera route selector
Use this when the engineering team knows the part and inspection target but not the camera family.
Inspection goalTarget size and field of viewSmallest defect or toleranceLine speed and trigger method
Route 02 Lens and field-of-view planner
Use this before quoting optics, especially when measurement repeatability is part of the decision.
Sensor sizeObject sizeWorking distanceMeasurement tolerance
Route 03 Lighting type selector
Use this when image contrast is unstable or the part surface is reflective, dark, transparent or curved.
Material surfaceDefect typeMounting spaceBacklight, coaxial, dome or bar test route
Interactive tools
Calculate the first route before sending an RFQ.
RFQ brief builder
Turn constraints into a cleaner engineering request.
Build a compact brief for the RFQ form. The generated text stays editable before you submit it to Deyi Vision.
All selection routes
Use the right tool for the current selection question.
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
Lens and field-of-view planner
Use this before quoting optics, especially when measurement repeatability is part of the decision.
- Sensor size
- Object size
- Working distance
- Measurement tolerance
Lighting type selector
Use this when image contrast is unstable or the part surface is reflective, dark, transparent or curved.
- Material surface
- Defect type
- Mounting space
- Backlight, coaxial, dome or bar test route
3D inspection route planner
Use this when height, gap, profile, weld shape or volume cannot be solved with 2D contrast.
- Height range
- Profile width
- Motion condition
- Surface reflectivity
Flexible feeder route planner
Use this when loose 0.1-100mm parts need flexible vibration, custom tray material, vision positioning and robot loading instead of a fixed bowl feeder.
- Part size, weight and target cycle time
- Part sticking, rolling, nesting and surface behavior
- F / FL / FS tray area, depth and material route
- DTA workstation, storage-bin, robot pickup and I/O route
Barcode reader selector
Use this when read-rate, traceability and conveyor speed are the main line constraints.
- Code type
- Code size
- Distance and angle
- Motion speed and lighting
Competitor model mapper
Use this when the factory team has a Keyence, Cognex, Basler, OPT, LMI or DataMan reference model.
- Reference model
- Current inspection task
- Reason for evaluation
- Required interface or I/O
RFQ quality gate
Good selection starts before model numbers.
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
Questions engineering teams ask before using the selection tools.
Can these machine vision tools replace factory engineering review?
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.
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.