Solution 02

Machine vision & quality control

Inspection, detection, sorting and traceability defined from real defects, product references and reject criteria agreed with the site team.

Describe the need →
Machine vision & quality controlSYNTAVER · Machine vision & quality control

When this solution makes sense

Signals we look for on site.

We engineer the complete inspection system, not only the camera, to secure repeatability, maintainability and useful defect interpretation.

01

Subjective or costly manual inspection

Operator variability, visual fatigue or inspection cost increasing with throughput.

02

Presence / absence / orientation defects

Presence, absence, orientation, assembly or appearance defects to check repeatably.

03

1D/2D code reading and traceability

Codes, lots or serial numbers to read and associate with the production cycle.

04

Automatic product sorting

Need to separate conforming / non-conforming product with controlled reject logic.

05

Need for in-process quality evidence

Images, results or statistics required for quality analysis and reject traceability.

Typical scope

What the project can include.

01

Vision feasibility study

02

Camera, optics and lighting selection

03

Station design and product presentation

04

Inspection algorithm and recipes

05

PLC interface, rejection and traceability

06

Validation on representative samples

Technical depth

Open the technical layer that matches your question

These items do not replace a site survey; they show the level of detail used to scope a pre-study.

01Data to collect+
  • Representative good / bad samples
  • Defect size and contrast
  • Throughput, product speed and available distance
  • Colour, position and ambient light variations
02Possible building blocks+
  • 2D / 3D camera depending on application
  • Dedicated optics and lighting
  • Triggering, tracking and reject
  • PLC / database / traceability
03Useful deliverables+
  • Defect matrix
  • Vision feasibility report
  • Integration diagram and reject logic
  • Test plan with representative samples
04Acceptance criteria+
  • Defined defects detected
  • False rejects / false accepts measured
  • Processing time compatible with line speed
  • Recipes, maintenance access and diagnostics

Method

Three scoping steps before integration.

The objective is to reduce grey zones before placing orders or starting on-site work.

01

1. Gather defect references

Samples, product variability, lighting conditions and line speed.

02

2. Define the inspection logic

Presence, conformity, sorting, OCR or measurement depending on the real need.

03

3. Validate at production speed

Trials, detection rate, false rejects and operator interface.

Next step

Scope the need before pricing the solution.

Describe the need →