Application selection example
Application brief for checking connector pin presence, orientation and bent-pin risk with camera, lens and controlled lighting. 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 a buyer needs proof that small metal pins remain visible after fixture, height and reflection changes.
Small connector features require stable contrast, low distortion and repeatable part positioning before a pass/fail threshold can be trusted.
Use an industrial 2D camera with a telecentric or low-distortion lens, controlled coaxial or bar lighting and a fixture that stabilizes connector height.
20+ good and bad connector samples before threshold lock
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.
Small connector features require stable contrast, low distortion and repeatable part positioning before a pass/fail threshold can be trusted.
20+ good and bad connector samples before threshold lock 0 false-pass target on missing-pin golden samples
Industrial 2D camera + Telecentric or low-distortion lens + Coaxial / bar lighting + Stable connector fixture
Connector sample image set, Pin pitch and tolerance note, Lighting test comparison
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.
Related product families
Area-scan, USB3, GigE, global-shutter, high-speed, high-resolution and special-spectrum industrial cameras for machine vision.
Product routeTelecentric optical routes for precision measurement, low-distortion edge capture and repeatable gauge-style inspection.
Product routeRing, bar, coaxial, dome, backlight, dark-field and line-light routes matched to defect contrast, edge clarity and part surface behavior.
Product routeCamera, lens, lighting, barcode, 3D, controller and inspection software routes planned as one machine vision system for production RFQs.
Product routeFixed mount barcode reader, DPM reader, conveyor code reader and traceability routes for logistics, packaging and manufacturing lines.
Related solution and selection pages
Build automated visual inspection systems for defect detection, presence checks, surface inspection, orientation, measurement and repeatable pass/fail output.
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ResourceMachine vision is an automated way to inspect products with cameras, lenses, lighting and software so a production line can measure, locate, accept, reject or trace parts.
ResourceBreak down cameras, lenses, lighting, controllers, software, I/O and fixtures in an industrial vision system.
ResourceFollow the machine vision workflow from trigger and image capture to lighting, processing, decision output and RFQ evidence.
ResourceCollect the details engineering teams need before requesting cameras, lenses, lighting, readers or inspection systems.
ResourceDesign a visual inspection system by defining defect criteria, sample set, optics, lighting, fixture, trigger, I/O and acceptance tests.
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 | 20+ good and bad connector samples before threshold lock |
| 2 | 0 false-pass target on missing-pin golden samples |
| 3 | 3 fixture loading positions checked for repeatability |
Application FAQ
No. This is an in-house application selection example for electronics connector inspection. 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 connector sample image set, pin pitch and tolerance note, lighting test comparison, reject-output integration note. Include good and bad samples whenever possible so engineering can test the route before recommending hardware.
Industrial 2D Cameras, Telecentric Lenses, Machine Vision Lighting 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.
