Application selection example
Application route for robot pick, positioning and assembly guidance using 2D or 3D vision based on part presentation. This in-house example proposes 3 acceptance checks and 4 RFQ inputs. It does not report completed customer testing or achieved performance.
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
Worked examples explain the problem, assumptions, component candidates and evidence a project needs. Use these four fields to prepare a test plan for your own application.
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.
Example boundary
These routes show how a selection decision is reached and what is checked before acceptance. Numeric values and planning windows are example targets, not achieved results or promised lead times. These are not audited performance figures, not a customer reference list, and not a claim that any particular buyer ran this route.
Not applicable. These routes are illustrative — worked examples of how a selection decision is reached, written in house. No engagement, buyer or site sits behind any of them, so there is no party whose permission could be sought. This is not a record of consent obtained; it is a record that consent has no subject here.
Application visuals are illustrative and are not offered as photographs of a customer installation. Numeric checks and planning windows are example targets, not measured outcomes or promised lead times.
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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 RFQ| # | Proposed acceptance check to validate |
|---|---|
| 1 | Pickup coordinate tolerance confirmed before route selection |
| 2 | Part-presentation variation tested across sample set |
| 3 | Calibration routine documented for operator maintenance |
Application FAQ
No. This is an in-house application selection example for robot guidance and pick-place cell. No customer engagement, buyer or site sits behind it. The component route, sample requirements and numeric acceptance targets are proposals to validate, not achieved results.
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.
