Omniance

Your AI sees what the eye misses.

Scratches, dimensional deviations, surface defects — automatically detected, in real-time, right in production.

Today's Reality

Quality inspection depends on the concentration of individual employees — shift after shift.

With reflective surfaces or small parts, the human eye hits its limits.

Defects that slip through are only discovered by the customer — complaints, rework, trust lost.

Standard camera systems only detect what's been explicitly programmed.

What Your AI System Can Do

1

Capture

Cameras on the line — integrated into your existing production workflow. No rebuild, no interruption.

2

Detect

Your AI model is trained on your materials, surfaces, and tolerances. It detects deviations that no rule set covers.

3

Sort

Good parts through, defective parts out — automatically or with release by your inspector.

4

Learn

Every confirmed or corrected decision makes the system better.

Especially relevant if:

You produce parts in series. Your quality inspection is manual or semi-automated. You have complaint costs you want to reduce. Your inspectors are hard to replace.

Under the Hood

Infrastructure

Runs on edge hardware directly on the line. No cloud needed. No latency.

Integration

Connection to MES, ERP, and existing camera systems where possible.

Models

Trained on your product images. No generic image recognition.

Offline-capable

Works completely without internet connection.

How It Works

12-3 Weeks

Sprint

We capture sample parts, train an initial model, and show you the detection rate. Business case with real numbers.

26-10 Weeks

Implementation

System built, installed on the line, calibrated, productive. Timeline depends on inspection task complexity.

3Ongoing

Operations

Ongoing optimization with new image data. By us or your team.

Let's check if your quality control can be automated.

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