When to review machine vision lighting.
The Machine Vision Lighting route fits surface defect contrast, edge measurement, reflective part inspection projects. Start from material and defect type.
Product route
Machine Vision Lighting
Ring, bar, coaxial, dome, backlight, dark-field and line-light routes matched to defect contrast, edge clarity and part surface behavior.
The defect exists but is not stable under ambient or built-in camera lightingReview working distance, light angle, exposure, wavelength, controller timing and fixture envelopeBacklight for silhouette, coaxial/dome for reflective surfaces, bar/dark-field for scratches
Confirm these before model selection.
Ring / bar / dome, Coaxial / backlight, Controller-ready are only the starting point. Also confirm field of view, working distance, line speed, interface, trigger timing and mounting limits.
Suppressing a bright reflection is useful only if the defect remains visible. Compare unpolarized and cross-polarized images on the same scratched and good surfaces.Run a polarization A/B test for glare
Send evidence before asking for a part number.
Share sample images, good and bad parts, current reference model, target defect, tolerance, production speed and available fixture space.
Where this route stops working.
- Do not quote lighting before sample surface, defect contrast and reflection behavior are reviewed.
- Do not use this route when ambient light, part pose or mounting space cannot be controlled.
- Do not assume the light type solves the project without camera angle and working-distance constraints.
Send route evidence before asking for a final part number.
- Part photos or short line video
- Good and bad sample examples
- Target feature size or tolerance
- Field of view and working distance
- Line speed, trigger and interface needs
When this route is a good fit
Lighting decides image contrast first: Deyi maps ring, bar, coaxial, dome, backlight and dark-field routes against 6 surface/defect variables.
Use this route when the project matches these constraints.
- Use when
- The defect exists but is not stable under ambient or built-in camera lighting.
- Core numbers
- Review working distance, light angle, exposure, wavelength, controller timing and fixture envelope.
- Route split
- Backlight for silhouette, coaxial/dome for reflective surfaces, bar/dark-field for scratches.
Do not quote this route before these checks are clear.
- Do not buy a brighter light to solve a geometry problem.
- Do not use ring light by default on reflective, curved or transparent parts.
- Do not quote lighting without sample images from good, bad and edge-case parts.
Swipe horizontally to compare buyer situation, inspection constraint, recommended route and what to send.
| Buyer situation | Inspection constraint | Recommended route | What to send |
|---|---|---|---|
| Lighting-first selection before camera model lock | Unstable image contrast review | Lighting-first selection before camera model lock. | Send material, defect type, surface reflectivity and working distance. |
| LED ring, bar, dome, coaxial, backlight and line-light routes | LED light type and controller review | LED ring, bar, dome, coaxial, backlight and line-light routes. | Confirm color, strobe need, controller route and mounting space. |
| General front-light review for presence, label and moderate texture checks | General front-light inspection review | General front-light route for presence, label and moderate texture checks. | Send sample images showing glare, shadow and target feature size. |
| Low-angle or dark-field review for scratches, edges and raised defects | Scratch and edge-contrast review | Low-angle or dark-field route for scratches, edges and raised defects. | Provide defect direction, surface finish and line-speed condition. |
How buyers should compare this route
Build the product route around the inspection target, not the catalog model.
Use machine vision lighting when the inspection evidence matches the route.
Machine Vision Lighting should be evaluated when the project is tied to surface defect contrast, edge measurement, reflective part inspection. A useful review starts from the part behavior, target feature, motion condition and current failure mode, then maps those limits to the right component family instead of forcing one catalog model.
- Surface defect contrast
- Edge measurement
- Reflective part inspection
Compare constraints, not only specifications.
Use machine vision lighting selection as a system decision: lens, lighting, fixture, trigger, interface and software all affect repeatability. The safest shortlist is created only after sample images, line speed and output constraints are reviewed together.
- Start from material and defect type.
- Use backlight for silhouette measurement.
- Use coaxial or dome routes for reflective surfaces.
What engineering should confirm first
Four checks before locking the machine vision lighting route.
This workflow keeps the RFQ focused on the real inspection constraint and reduces the risk of buying a component that works on paper but fails under production lighting, motion or fixture variation.
- Define the inspection target State the defect, code, edge, height, presence check or measurement result that must be accepted or rejected.
- Lock optical and mechanical constraints Confirm field of view, working distance, mounting space, part motion, fixture stability and available light geometry.
- Match the component route Review machine vision lighting with related lenses, lighting, controllers, I/O and software rather than selecting one part number in isolation.
- Validate with samples Use good parts, bad parts and edge-case samples to confirm contrast, repeatability, read rate or measurement stability before purchase.
Reviewed selection basis
Review model data, buyer constraints and acceptance risk before RFQ lock.
Manufacturer seriesMachine vision lighting series Selection basisKST / CSTMV lighting supply route Model routeDeyi-supported model route Buyer reference modelCCS / OPT
Model parameter matrix
Model-level parameters reviewed against manufacturer specs before RFQ lock.
Ring light
DY-RS3475-W
Reference model: CST-RS3475-W · Supplier: CSTMV / KST
Manufacturer specs reviewed Official spec page Request this route- Color
- White
- Power
- 2W
- Light opening
- 34mm outer / 10mm inner / 19mm height
- Color temperature
- 6000-10000K
- Use environment
- 0-40 C
- Storage environment
- -20-60 C, 20-85%RH non-condensing
- Rated life
- White 30000h @25 C to 50%; red 60000h @25 C to 50%
- Warranty
- 1 year
- Deyi route code keeps the functional model route while final labeling and availability are confirmed during RFQ.
Flat back light
DY-HFS200150-W
Reference model: CST-HFS200150-W · Supplier: CSTMV / KST
Manufacturer specs reviewed Official spec page Request this route- Color
- White
- Power
- 25W
- Light area
- 200 x 150mm class
- Color temperature
- 6000-6500K
- Use environment
- 0-40 C
- Storage environment
- -20-60 C, 20-85%RH non-condensing
- Rated life
- White 30000h @25 C to 50%
- Warranty
- 1 year
- Backlight route for silhouette, contour and liquid/foreign-object inspection work.
Dome shadowless light
DY-DS500-W
Reference model: CST-DS500-W · Supplier: CSTMV / KST
Manufacturer specs reviewed Official spec page Request this route- Color
- White
- Power
- 242W
- Dome class
- 500mm series
- Color temperature
- 6000-6500K
- Use environment
- 0-40 C
- Storage environment
- -20-60 C, 20-85%RH non-condensing
- Rated life
- White 30000h @25 C to 50%
- Warranty
- 1 year
- Mapped as the reflective-surface route for glare reduction and broad shadow control.
Swipe horizontally to compare reviewed model parameters. Use the mobile cards above on small screens.
| Parameter | Ring light DY-RS3475-W Reference model: CST-RS3475-W · Supplier: CSTMV / KST Manufacturer specs reviewed Official spec page | Flat back light DY-HFS200150-W Reference model: CST-HFS200150-W · Supplier: CSTMV / KST Manufacturer specs reviewed Official spec page | Dome shadowless light DY-DS500-W Reference model: CST-DS500-W · Supplier: CSTMV / KST Manufacturer specs reviewed Official spec page |
|---|---|---|---|
| Color | White | White | White |
| Power | 2W | 25W | 242W |
| Light opening | 34mm outer / 10mm inner / 19mm height | Confirm during RFQ | Confirm during RFQ |
| Color temperature | 6000-10000K | 6000-6500K | 6000-6500K |
| Use environment | 0-40 C | 0-40 C | 0-40 C |
| Storage environment | -20-60 C, 20-85%RH non-condensing | -20-60 C, 20-85%RH non-condensing | -20-60 C, 20-85%RH non-condensing |
| Rated life | White 30000h @25 C to 50%; red 60000h @25 C to 50% | White 30000h @25 C to 50% | White 30000h @25 C to 50% |
| Warranty | 1 year | 1 year | 1 year |
| Light area | Confirm during RFQ | 200 x 150mm class | Confirm during RFQ |
| Dome class | Confirm during RFQ | Confirm during RFQ | 500mm series |
| RFQ notes |
|
|
|
What changes the route, cost and delivery review.
- Application route
- Surface defect contrast, Edge measurement, Reflective part inspection
- Hardware scope
- Ring / bar / dome, Coaxial / backlight, Controller-ready
- Buyer reference model
- CCS / OPT
Common use cases
Common reasons product selection goes wrong.
- Choosing by resolution, catalog size or brand reference before defining the inspection target.
- Ignoring lighting, lens, fixture or trigger limits that decide whether the component can repeat on the production line.
- Requesting a quote without good/bad sample images, line speed, target tolerance or the current failure mode.
Evidence that helps engineering reply faster.
Part photos or short line videoGood and bad sample examplesTarget feature size or toleranceField of view and working distanceLine speed, trigger and interface needsCurrent model, competitor reference or failure mode
Related solution routes
Connect this product family to an inspection problem.
Solution
Automated Visual Inspection
Build automated visual inspection systems for defect detection, presence checks, surface inspection, orientation, measurement and repeatable pass/fail output.
SolutionVision Inspection System
Plan a complete vision inspection system for defect checks, presence, measurement, barcode reading and pass/fail output.
SolutionDimension Measurement
Use calibrated lenses, lighting and cameras to stabilize measurement under production conditions.
SolutionBarcode & Traceability
Select readers and lighting for label codes, DPM marks, carton sorting and part tracking.
SolutionFlexible Feeding & Robot Loading
Build flexible small-part loading cells with F/FL/FS feeder trays, optional storage bins, vision positioning and DTA robot pickup routes.
Application case briefs
Explore illustrative selection examples for this product family.
Automotive parts inspection
Automotive Metal Surface Defect Inspection
Application route for scratches, burrs, dents and reflective metal surface checks using lighting-first machine vision selection.
Electronics inspectionPCB Connector Pin Presence Inspection
Application brief for checking connector pin presence, orientation and bent-pin risk with camera, lens and controlled lighting.
Packaging inspectionPackaging Label and Barcode Traceability
Application brief for label presence, barcode read rate and packaging traceability on moving conveyor lines.
Metal and surface inspectionDirect Part Mark Code Reading on Metal Parts
Application route for DPM barcode reading on machined or laser-marked metal parts with difficult surface contrast.
Battery inspectionBattery Tab Weld Height Inspection
Application route for battery tab, weld and height checks where 2D contrast alone may not prove geometry.
Textile and web inspectionRoll-to-Roll Web Defect Inspection
Application brief for continuous web, film, textile or paper defect inspection using line scan cameras and line lighting.
Dimension measurementStamped Part Instant Measurement
Application route for fast dimensional checks on stamped, machined or molded parts using instant measuring systems.
Related buying guides
What to check before you quote this route.
Resource
Reflective Metal Scratch Inspection Lighting Route
Select lighting for reflective metal scratch, burr and surface defect inspection by glare behavior, defect direction, camera angle and acceptance evidence.
ResourceLine Scan Camera vs Area Scan Camera
Compare line scan and area scan cameras by motion type, material width, defect size, encoder timing, lighting stability and integration risk.
ResourceHow to Choose Machine Vision Lighting
Choose machine vision lighting by surface finish, defect direction, camera angle, working distance and acceptance evidence instead of choosing by light shape alone.
ResourceMachine Vision System Components
Break down cameras, lenses, lighting, controllers, software, I/O and fixtures in an industrial vision system.
ResourceIndustrial Barcode Reader Selection Guide
Select fixed industrial barcode readers by code type, module size, read distance, line speed, lighting route, trigger timing and no-read handling.
ResourceMachine Vision Supplier Selection Guide
Choose a machine vision supplier by application engineering, sample testing, component route coverage, export support and integration documentation.
ResourceIndustrial Camera for Machine Vision
Select industrial cameras for machine vision by sensor size, shutter type, resolution, interface, frame rate and lighting constraints.
ResourceBacklight vs Coaxial Lighting
Compare backlight and coaxial machine vision lighting for silhouette measurement, flat reflective surfaces, printed marks and surface feature contrast.
ResourceRing Light vs Dome Light
Choose between ring light and dome light by surface reflectivity, shadow control, curvature, defect type, working distance and mechanical space.
ResourceMachine Vision Lighting Types
Compare ring, bar, dome, coaxial, backlight and line lighting types by surface behavior, defect contrast and installation constraints.
ResourceBarcode Reader for Manufacturing Lines
Select a barcode reader for manufacturing by code type, takt time, conveyor speed, read distance, trigger timing, PLC output and no-read handling.
ResourceIndustrial Code Reader Selection Guide
Select fixed code readers by worst-case code quality, read distance, motion, lighting, trigger timing and output protocol.
ResourceDPM Barcode Reading Guide
Plan direct part mark code reading by material, mark type, contrast, lighting angle and reader mounting conditions.
ResourceFixed Mount Barcode Reader Setup Guide
Plan fixed mount barcode reader setup by code size, conveyor speed, trigger method, mounting angle, lighting, DPM difficulty and read-rate target.
ResourceVision Inspection RFQ Checklist
Collect the details engineering teams need before requesting cameras, lenses, lighting, readers or inspection systems.
ResourceMachine Vision Working Distance Guide
Understand how working distance affects field of view, lens choice, lighting geometry, fixture design and inspection stability.
ResourceLine Scan Camera Lighting Setup
Plan line scan camera lighting by material width, web speed, exposure time, line light geometry, lens field width, encoder synchronization and edge-to-center uniformity.
ResourceLine Scan Camera Price Guide
Understand line scan camera price drivers including sensor length, line rate, interface, lens, line light, encoder, controller and web-inspection scope.
ResourceLine Scan Camera with Encoder Setup
Plan a line scan camera with encoder synchronization by web speed, pulse rate, roller diameter, line rate, exposure and image scale stability.
ResourceVisual Inspection System Design Checklist
Design a visual inspection system by defining defect criteria, sample set, optics, lighting, fixture, trigger, I/O and acceptance tests.
ResourceMachine Vision Acceptance Test Checklist
Define machine vision acceptance tests with good/bad samples, repeatability checks, false-pass risk, read-rate targets, station timing and integration handoff notes.
ResourcePackaging Label and Barcode Inspection System
Design packaging label and barcode inspection for wrong-label risk, no-read events, label position, print verification, conveyor speed and reject output.
ResourceDPM Code Reading on Reflective Metal Parts
Plan DPM code reading on reflective metal parts by mark type, surface finish, lighting angle, reader distance, read-rate target and no-read handling.
ResourceRoll-to-Roll Film Defect Inspection with Line Scan Cameras
Plan roll-to-roll film defect inspection by web width, line scan camera route, line light uniformity, encoder timing, smallest defect and false reject control.
ResourceFood and Beverage Cap Label Date Code Inspection
Design food and beverage inspection for cap presence, label position, date code readability, fill or package checks, line speed and reject reliability.
ResourceMachine Vision Lighting Basics
A beginner-friendly guide to choosing machine vision lighting by contrast, surface behavior and defect type.
Reference alternatives
Compare this product family against reference-model requirements.
Compare
XIMEA Compact Camera Alternative
Compare compact and embedded camera requirements by size envelope, interface, power budget and host platform.
CompareVision & Control Optics and Sensor Alternative
Compare combined optics, lighting and sensor routes when the inspection task is fixed and the geometry is tight.
CompareVisiontechnik Integrator Component Route
Compare an integrator-supplied build with a factory-direct component route when the integration work stays in house.
CompareKeyence Vision System Alternative
A neutral selection guide for teams comparing Keyence-style integrated vision systems with component-level inspection routes.
CompareBasler Camera Selection
Use Basler camera reference demand to guide area scan, line scan, interface, resolution and lens decisions.
CompareOPT Lighting Alternative
Select machine vision lighting by part surface, defect type, contrast method and mechanical installation constraints.
CompareCognex DataMan Alternative
Map fixed-mount barcode reader requirements to code type, speed, lighting and traceability constraints.
CompareHikrobot Machine Vision Alternative
Review Hikrobot-style camera, lens, lighting and barcode requirements against a factory-direct component route.
CompareSICK Vision Sensor Alternative
Map SICK-style sensor and reader requirements to fixed barcode reading, smart camera and inspection cell needs.
CompareDatalogic Barcode Reader Alternative
Plan fixed barcode reader selection for teams comparing Datalogic-style code reading with factory-direct options.
CompareZebra Fixed Scanner Alternative
Use Zebra scanner reference requirements to confirm code size, motion speed, lighting and mounting constraints.
CompareTeledyne DALSA Camera Selection
Translate Teledyne DALSA-style area scan and line scan requirements into practical machine vision camera choices.
CompareFLIR Industrial Camera Alternative
Compare FLIR-style industrial camera needs with Deyi Vision camera, lens and lighting selection constraints.
CompareAllied Vision Camera Selection
Use Allied Vision camera references to frame sensor size, interface, frame rate and machine vision application needs.
CompareIDS Imaging Camera Selection
Map IDS Imaging-style camera searches to inspection goals, optics, lighting and factory-direct RFQ inputs.
CompareBaumer Vision Camera Alternative
Review Baumer-style vision camera requirements before selecting resolution, interface, lens and lighting route.
CompareMaxxVision Component Alternative
Turn a distributor shortlist into camera, lens, lighting and interface requirements a factory can quote against directly.
CompareStemmer Imaging Component Route
Use Stemmer-style component sourcing requirements to plan cameras, lenses, lights and integration-ready RFQ details.
CompareBanner Vision Sensor Alternative
Compare Banner-style vision sensors with smart cameras, lighting and compact pass/fail inspection routes.
CompareOmron Microscan Barcode Alternative
Plan barcode reader selection for Omron Microscan-style DPM, label and traceability requirements.
CompareBalluff Vision Sensor Alternative
Map Balluff-style vision sensor needs to factory-direct smart camera, lighting and camera component choices.
Product RFQ
Need help selecting machine vision lighting?
Send working distance, target size, speed, defect type, competitor model or sample images before locking a part number.
Request engineering RFQProduct FAQ
Common questions before selecting machine vision lighting.
How do I confirm whether machine vision lighting fit my project?
Start with the inspection goal, field of view, working distance, line speed and target tolerance. Then match machine vision lighting with lens, lighting, mounting and I/O requirements instead of choosing by part number alone.
What information improves machine vision lighting selection accuracy?
Send good and bad sample images, target feature size, field of view, working distance, speed, trigger method, interface requirement and any current reference model. That lets engineering confirm whether machine vision lighting is the right route or whether another product family is safer.
When should I avoid selecting machine vision lighting by catalog specs only?
Avoid catalog-only selection when the part is reflective, moving quickly, tolerance-sensitive, space-limited or already failing under manual inspection. In those cases, lighting, lens, fixture and software behavior often matter as much as the component specification.
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.