Anonymized delivery case
Application route for scratches, burrs, dents and reflective metal surface checks using lighting-first machine vision selection. This route includes 3 measurable checks and 4 project evidence items.
Best used when the metal finish changes from batch to batch and the lighting route must be proven before quoting.
Reflective metal surfaces can hide scratches and burrs unless the lighting geometry is matched to the defect direction and part movement.
Start with bar, coaxial or dome lighting tests, then match the industrial camera, lens and trigger method to the verified contrast route.
3 lighting geometries compared before model selection
Case decision frame
Anonymous cases are useful when they show the problem, constraints, hardware stack and evidence needed for a repeatable RFQ. Use these four fields to compare your project.
Reflective metal surfaces can hide scratches and burrs unless the lighting geometry is matched to the defect direction and part movement.
3 lighting geometries compared before model selection Worst-case defect samples photographed at line speed
Bar / coaxial / dome lighting test set + Industrial 2D camera + Low-distortion lens + Trigger and reject output
Defect sample photo set, Lighting-angle test note, Line-speed constraint note
Inspection workflow
The right product family depends on measurable samples, line conditions and acceptance criteria. Use this workflow to move from application idea to testable project evidence.
Trust evidence
Many inspection projects expose product defects, line speed and factory process details. Deyi Vision therefore publishes anonymized delivery evidence routes and keeps customer names, drawings and plant photos protected unless the buyer approves disclosure.
Related product families
Ring, bar, coaxial, dome, backlight, dark-field and line-light routes matched to defect contrast, edge clarity and part surface behavior.
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Product routeStructured-light 3D sensors and line-laser profile measurement routes for height, profile and surface geometry checks.
Related solution and selection pages
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Application RFQ
Send sample images, line speed, tolerance and the current failure mode. We will map the application to camera, lighting, lens, reader, 3D or smart camera routes.
Request engineering RFQApplication FAQ
No. This page is an anonymized delivery evidence route for automotive reflective metal inspection. It explains project type, hardware stack, sample evidence and measurable checks without claiming a named customer deployment.
Send defect sample photo set, lighting-angle test note, line-speed constraint note, fixture mounting envelope. Include good and bad samples whenever possible so engineering can test the route before recommending hardware.
Machine Vision Lighting, Industrial 2D Cameras, 3D Vision Cameras are the first product families to review, but the final route depends on sample images, speed, tolerance and installation space.
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.
