Inspection solution
Build automated visual inspection systems for defect detection, presence checks, surface inspection, orientation, measurement and repeatable pass/fail output.
Engineering route fit
Automated visual inspection systems work when defect size, field of view, line speed, lighting, fixture stability and reject logic are specified together. Deyi maps those inputs into camera, lens, lighting, smart camera and system routes before quotation.
System-level route for defect checks, measurement, barcode reading and pass/fail output.
Camera route industrial 2D cameraCamera selection route for FOV, resolution, trigger and frame-rate constraints.
Lighting route machine vision lightingContrast-first lighting route for reflective, curved, dark or low-contrast parts.
RFQ checklist visual inspection system design checklistPre-RFQ checklist for sample evidence, acceptance criteria and line constraints.
Swipe horizontally to compare buyer question, research pattern and Deyi RFQ action.
| Buyer question | Research pattern | Deyi RFQ action |
|---|---|---|
| automated visual inspection | Search results mix vendor solution pages and explanatory system pages. | Lead with defect target, FOV, line speed, lighting route, fixture stability and reject logic before camera choice. |
| automated visual inspection systems | Commercial system pages compete with software/AI explainers. | Show system scope: camera, lens, lighting, trigger, controller, software and pass/fail output. |
| vision inspection system | Buyers need a practical route from sample evidence to acceptance criteria. | Cross-link vision system route, RFQ checklist and sample validation content. |
Solution RFQ
Send part images, line speed, inspection tolerance and current failure mode. We will map it to a component route.
Request engineering RFQSolution FAQ
Stable automated visual inspection systems start with measurable defect size, controlled lighting, fixed part presentation, line-speed evidence, repeatable trigger timing and a clear reject rule. Camera choice comes after those inputs.
Confirm the part surface, target defect or measurement, tolerance, conveyor or robot motion, available mounting space, reject method and any current failure mode before selecting hardware.
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.
