How mature is your Data & AI organization?Take the diagnostic
All use cases

AI USE CASE

Visual quality inspection

Detect defects in production lines and on-site builds with computer vision.

Typical budget
€30K–€150K
Time to value
16 weeks
Effort
8–20 weeks
Monthly ongoing
€800–€4K
Minimum data maturity
intermediate
Technical prerequisite
dev capacity
Industries
Manufacturing, construction, Logistics
AI type
vision

What it is

A computer-vision model reviews images or video from cameras on the line (or smartphones on a building site) and flags defects in real time. Catches 2–5x more defects than manual inspection and creates a digital quality record. Typical scrap rate drops by 20–40%.

Data you need

Several thousand labelled defect images per defect class.

Why it works

  • Fixed-position cameras with controlled lighting
  • Active learning loop: operators label edge cases

How this goes wrong

  • Lighting/camera setup that drifts and degrades model accuracy
  • Operators mistrust the model and disable alerts

When NOT to do this

Don't attempt without controlled lighting — environmental noise destroys accuracy.

Vendors to consider

This use case is part of a larger Data & AI catalog built from 50+ enterprise transformation programs. Take the free diagnostic to see how it ranks against your specific context.