Inspect Sub-Assemblies

Catch a missing part or wrong kit before it reaches the next station.

A clip that’s missing, or a connector seated backward, usually isn’t caught until a customer complains. Scanflow checks surface condition, dimensions, part marking, presence and orientation on every sub-assembly not a sample pulled once a shift.

Trusted by Global Enterprises

In-line Quality Control

Why catching it here matters

Without Scanflow

What happens if it’s missed


A wiring harness ships with one connector seated backward. It passes a quick glance and fails three stations later or after the customer already has it.

With Scanflow

Where Scanflow checks for it


Right where the sub-assembly comes together, checking every unit against what a correct one looks like not a sample pulled once a shift.

Inspection Capabilities

The five checks Scanflow actually runs

This is the stage manufacturing calls poka-yoke error-proofing an assembly against the mistakes that are easy to make and expensive to miss. It comes down to five checks, and Scanflow runs all five with one camera instead of a different fixture or gauge for each.

Vision inspection detecting surface defects on an automotive sub-assembly

Surface Defects

Does it look right?

Handling damage or a gasket not seated flush, caught on every unit.

Dimensional measurement overlays on an assembled sub-assembly

Dimensional Measurement

Does it fit together right?

Stack-up measured on the assembled unit, not just each part.

OCR comparison of part labels against the expected build variant

OCR

Is it the right variant?

Part code read at kitting and matched to the build spec.

Presence and absence check counting fasteners on a sub-assembly

Presence & Absence

Is everything actually there?

Every bolt and component counted against the kit spec.

Orientation and alignment verification on an automotive sub-assembly

Orientation & Alignment

Is it facing the right way?

A backward connector or upside-down bracket flagged on every unit.

Why this gets missed anyway

12,100+

Monthly searches for “poka-yoke” in India alone error-proofing is a widely taught, widely practiced discipline

1 part

Is often all it takes industry reporting notes a single missing hose or plug can stall a line or create a safety issue

New tooling

Is what traditional mechanical poka-yoke needs for every new part variant jigs and pins don’t generalize

2 weeks

Typical time to get Scanflow running on an existing sub-assembly line

Search volume from Semrush (India, monthly average). Industry consequence reporting from Quality Magazine’s coverage of assembly and kitting inspection. These describe the general practice of error-proofing in manufacturing, not a Scanflow-specific measurement.

Measurement & Inspection

A fixture for every part isn’t the same thing

Classic poka-yoke uses mechanical fixtures a jig, a pin, a shape that only lets the right part fit. It works, but every new variant needs its own physical tooling, designed, built and validated before it can catch anything.

Mechanical error-proofing


  • A physical jig or fixture built for each specific part variant
  • A new variant means new tooling, designed and validated from scratch
  • Catches presence and fit, but can't check surface condition or read a part code
  • No image, no record just a part that either fit or didn't

Vision-based poka-yoke


  • One camera trained on what a correct assembly looks like
  • A new variant is trained by your own team in hours, not machined
  • Checks surface, dimensions, marking, presence and orientation together, in one pass
  • Every check leaves an image and a record, searchable later

What comes with it

QC AI Agent

Ask a plain question and get an answer from your own inspection data like 'which sub-assembly line had the most missing-part rejects this week.' No report to wait on, no dashboard to build first.

Auto-Annotation Tool

Your own quality team can train a new kit or variant in a few hours no data-science team, no waiting on a vendor, no new fixture to machine.

Measured, not guessed

95%+

Detection accuracy

100%

Of units checked & recorded

2×

Faster than manual checks

20–35%

Typical rework reduction

MSA

Validated measurement

Bring us your hardest sub-assemblies.

One day, on your line then decide.

Request Demo