Anonymized delivery case
Application route for robot pick, positioning and assembly guidance using 2D or 3D vision based on part presentation. This route includes 3 measurable checks and 4 project evidence items.
Best used when part position, height or overlap changes the robot pickup result and calibration must remain maintainable.
Robot guidance fails when part presentation, height variation or lighting changes the coordinate output.
Use 2D vision for stable flat positioning and 3D vision when height, overlap or geometry changes affect the pickup result.
Pickup coordinate tolerance confirmed before route 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.
Robot guidance fails when part presentation, height variation or lighting changes the coordinate output.
Pickup coordinate tolerance confirmed before route selection Part-presentation variation tested across sample set
2D or 3D vision camera + Machine vision lens + Lighting route + Robot calibration workflow
Robot cell video or photos, Part CAD or sample photos, Pickup tolerance 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
FA lenses, C-mount lenses, line-scan lenses, large-format lenses, low-distortion lenses, telecentric lenses and custom optics for inspection cells.
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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 robot guidance and pick-place cell. It explains project type, hardware stack, sample evidence and measurable checks without claiming a named customer deployment.
Send robot cell video or photos, part cad or sample photos, pickup tolerance note, robot interface requirement. Include good and bad samples whenever possible so engineering can test the route before recommending hardware.
3D Vision Cameras, Industrial 2D Cameras, Machine Vision Lenses 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.
