ClariFab Machine Vision

Observe the operations
numbers cannot explain.

Independent vision systems monitor critical production stages and product quality while your existing line controls continue working unchanged.

See practical examples

Visual context at production speed

A sensor confirms that something happened. A camera can show how it happened.

Position, orientation, sequence, surface condition and defect distribution are difficult to represent with one numeric value. ClariFab connects image evidence with time, product and process signals so every visual decision has engineering context.

How the system works

From a production image to an actionable signal.

01Capture

Stable image, controlled lighting and reliable product trigger.

→
02Add context

Product, position, cycle, speed and environmental signals.

→
03Interpret

Deterministic rules or trained models evaluate what matters.

→
04Inform

Clear result, evidence and investigation data — independent of PLC control.

Examples

Three problems where visual context changes the decision.

01 / PRESENCE & FEATURE INSPECTION

Is every required feature present — in the right place?

A proximity sensor may confirm that a product arrived. Vision can confirm whether holes, fasteners, labels or components are present, correctly oriented and within the expected region.

  • Missing or additional components
  • Hole and cut verification
  • Orientation and assembly control

02 / CRITICAL-PROCESS MONITORING

Did the critical operation occur in the correct sequence?

The system can observe material position, tool interaction and process order. Instead of checking only the final result, engineers can review which stage began to deviate.

  • Tool and material interaction
  • Sequence verification
  • Jam and abnormal-flow detection

03 / QUALITY PATTERN DETECTION

Where is the defect — and how is it distributed?

Two products can have the same total defect area but different functional risk. Vision preserves location, shape and distribution, then connects the pattern with process conditions.

  • Surface and edge condition
  • Defect location and distribution
  • Trend and drift detection

Part of the ClariFab Overlay Approach

The line stays in control. The vision layer makes it observable.

Existing lineMachine · PLC · Safety logicRuns the process unchanged
ClariFab vision layerCameras · Lighting · Edge analysisObserves independently
Information outputsEvidence · Alerts · Quality contextSupports decisions and investigations

Start with one critical operation

Show us the process you wish you could observe continuously.

We will define the camera position, context signals and minimum useful output for a practical observer-first pilot.

Discuss a vision pilot