Machine vision feasibility testing

Test machine vision with your own product samples

Selecting a camera from a data sheet does not show whether features, defects or positions remain reliably visible under production conditions. Sedeco tests representative samples and compares cameras, lenses and lighting before you select a configuration.

Test setup for machine vision feasibility testing

Define the imaging problem first

The right hardware follows from what the image must prove

Resolution alone is not a selection criterion. Field of view, working distance, depth of field, motion, surface and ambient light jointly determine whether the relevant feature can be captured with sufficient contrast and detail.

That is why we start with real products and boundary cases. The test shows which configurations work, where the technical boundary lies and which uncertainties still need testing in the machine or production line.

From samples to selection advice

How a machine vision feasibility test works

The scope varies by application. These six steps align the test with product variation and the final machine.

  1. 01

    Task and decision boundary

    We define what must be measured, recognised, read or positioned and which boundary separates conforming from non-conforming.

  2. 02

    Representative samples

    You provide conforming products, known defects and boundary cases from multiple production batches where that variation matters.

  3. 03

    Operating constraints

    We collect field of view, working distance, speed, available space, product motion, environment and the required PLC, PC or robot interface.

  4. 04

    Test setup

    We build a setup in which multiple camera, lens and lighting combinations can be assessed under comparable conditions where needed.

  5. 05

    Assessment

    We compare image quality, measurability, sensitivity to variation and practical boundaries. Cycle time and processing are included when they are decisive.

  6. 06

    Advice and next step

    You receive the test findings, a suitable component configuration and advice to continue in-house or involve Sedeco in integration.

Camera, lens, lighting and processing

We compare the complete imaging chain

A different lens or lighting direction can change more than a camera with additional pixels. We therefore assess components as one optical and software system.

Camera and acquisition method

Area scan, line scan, 3D or smart camera; sensor size, shutter, frame rate, interface and required processing.

Lens and geometry

Field of view, working distance, focal length, depth of field, distortion and the need for telecentric optics in precision measurement.

Lighting and surface

Direction, colour, diffusion, polarisation, flash duration and shielding from ambient light for stable contrast.

Vision tools and architecture

Classical measurement and analysis tools where sufficient; AI or custom software when product variation demonstrably requires it.

Machine vision test setup for camera, lens and lighting selection
The final mounting, shielding and product presentation must be able to reproduce the tested imaging conditions in the machine.

What we need from you

Samples and production information

  • Representative conforming products.
  • Known defects and products close to the acceptance boundary.
  • Description of product variants, material, colour and surface.
  • Required field of view, working distance and available installation space.
  • Cycle time, product motion and the point at which acquisition can occur.
  • Required output and interface to PLC, PC, robot or higher-level system.

If part of this information is unavailable, we determine during intake which assumptions must be tested first.

Practical acceptance

When is the test useful for a project decision?

  • The relevant feature is visible on conforming, defective and boundary samples.
  • The selected resolution and optics fit the field of view and measurement task.
  • Lighting provides sufficient separation across relevant colour, position and surface variation.
  • Expected cycle time and data transfer fit the machine architecture.
  • Open risks for mounting, contamination, ambient light and maintenance are identified.
Open the feasibility checklist →

Two routes forward

After testing, choose components or integration support

The feasibility test prevents component selection from becoming disconnected from the application. The next step depends on the capacity of your engineering team.

Your team builds in-house

Sedeco supplies the selected camera, lens, lighting and any software licences. Your team handles machine construction, controls, application software and installation.

Typical output

Test findings, recommended component configuration and technical inputs for your engineering.

Sedeco supports integration

We help transfer the tested imaging conditions to the machine, for example through mounting advice, configuration, calibration, vision software and a defined PLC or robot interface.

Typical output

An agreed vision scope with defined interfaces, settings, acceptance criteria and responsibilities.

Business-case inputs

Connect the technical test to the production problem

A visible defect or usable measurement does not automatically make the investment worthwhile. Define which manual task, reject, downtime or capacity constraint the application must reduce.

Calculation model: compare total investment and annual ownership cost with annual costs demonstrably removed or reduced. Use measurements from your own production and include changeovers, maintenance and operator interventions.

Required production data

  • Production volume and required cycle time.
  • Current inspection, measurement or handling time.
  • Cost of rejects, rework and lost production.
  • Number of operator interventions, changeovers and restarts.
  • Cost of integration, maintenance, calibration and spare parts.
Vincent van Montfoort of Sedeco Imaging

Have an application tested

Start with samples and a concrete task

Send photographs and a short description of the task. We will then agree which conforming, defective and boundary samples are needed and which production conditions the test must reproduce.