Machine vision components and inspection systems

Your inspection samples decide the camera, lens and lighting.

Send sample images, FOV, working distance or a reference model. You get a factory-direct component route with acceptance checks — before any quotation.

Factory-direct supply · Component selection support · Engineer-ready RFQ

Factory-direct

Component selection for the complete vision cell.

Deyi Vision in Foshan, Guangdong, China supports selection and sourcing of industrial cameras, lenses, lighting, 3D vision, smart cameras, barcode readers and flexible feeders based on your sample images.

Evidence first

See how a problem becomes a component list.

Each in-house selection example connects an inspection problem with proposed hardware, acceptance targets and required RFQ inputs. These examples are not customer deliveries; results require validation with real samples.

These in-house selection examples illustrate component choices and proposed acceptance checks. They are not customer projects, measured delivery results or customer references. Images on these examples are illustrative.

Open the trust center
in-house selection examples
8
verification layers
4
product families
11
selection brief target
24h

How it works

From sample images to a component route in four steps.

  1. 01Brief

    Send what you have

    Sample images, FOV, working distance, line speed or a reference model. Product links and competitor model numbers work too.

  2. 02Route

    We match the components

    Camera, lens, lighting, reader or 3D route, chosen against your contrast, speed and interface limits.

  3. 03Verify

    Acceptance checks first

    Measurable checks and sample evidence are agreed before any quotation, so the result can be tested on your parts.

  4. 04Supply

    Source the agreed components

    Component source, supply scope, documentation and availability are confirmed for each RFQ.

Product routes

Start from capture, lighting or a decision module.

Nine component families, each with the parameters you need to compare before you ask for a price.

All product families

Engineering guides

Six inspection projects, worked through from problem to component list.

All guides
  1. 01 Flexible Feeder Robot Loading for Small Parts Plan flexible feeder robot loading for screws, terminals, contacts and small molded parts by part behavior, tray route, vision positioning and pickup repeatability.
  2. 02 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.
  3. 03 EV Battery Weld Height Inspection with 3D Vision Plan EV battery weld-height inspection by profile width, Z tolerance, reflective surface behavior, trigger timing and reject output.
  4. 04 Packaging 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.
  5. 05 DPM 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.
  6. 06 Roll-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.
46 more

Software and AI-assisted tuning

From image capture to a tested vision workflow.

Deyi Vision's DeYiVision Vision Workbench lets engineers review supported workflows, parameters and sample results before anything reaches the line.

  • Visual workflows
  • Parameter review
  • MCP-assisted iteration

Request a review Try the Browser Vision Lab (English)

DeYiVision AI Optimization Workbench showing the node library, workflow canvas and human review panel

Selection and verification

Review the company and selection basis before asking for a price.

Company profile Trust center
5 more

Engineering blog

Find the cause. Check the fix.

Practical tutorials for isolating image, measurement and integration problems. Follow the checks, preserve the evidence and confirm the result on your own line.

All tutorials

Buyer FAQ

What buyers ask before sending a machine vision RFQ.

Ask engineering
01What 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.

02Do 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.

03How 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.

04Can 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.

05What affects industrial barcode reader selection?

Code type, code size, print or DPM surface, distance, motion speed, mounting angle, lighting and required read-rate are usually more important than choosing by reader series name alone.

Start here

Send product links, sample images or a competitor model. We turn it into a selection brief.

  • Product link
  • Sample image
  • Competitor model
  • Line speed
Engineering response Selection brief within 24h

Camera, lens, lighting, reader or inspection route mapped to your real production constraints.

Contact

Direct RFQ contact

Talk to engineering about the inspection problem.

Send sample images, competitor model, FOV, working distance and line speed before model selection.

Target: selection brief within 24h
Send sample images