AI Quality Control System
Visual Inspection for Industrial Production

AIQualityControl

AI-based visual inspection systems engineered for industrial production. Detecting defects, deviations and anomalies in real production environments — reliably, repeatably and at production speed.

Trained on real production data
Fully integrated into existing production processes
Designed to support quality stability, not just defect detection

The result is a production-ready inspection system that prevents defect leakage, reduces dependency on manual inspection and provides actionable quality data for further process optimization.

Performance

Typical Production Capabilities

01
>99%
Defect detection accuracy
02
50ms
Inspection latency
03
24/7
Continuous operation
04
80-90%
Reduction of manual inspection

Helping eliminate customer complaints and quality-related escalations

Applications

Use Cases

Our AI quality control solutions are applied across automotive, pharmaceutical, food and defence manufacturing. The same inspection principles solve quality problems regardless of industry — only the production context changes.

Defect Detection

Surface & Material Inspection

AI-based detection of visual and surface defects in real production conditions. Our systems identify microscopic defects such as scratches, dents, cracks, contamination or material inconsistencies. Inspection adapts to different materials, finishes and lighting conditions and operates reliably at production speed.

Applications: Automotive surfaces, coated parts, machined components, packaging, pharma containers, electronic housings.

Assembly Verification

Completeness & Correctness

Automated verification of assembly completeness and correctness in real time. The system verifies the presence, position and orientation of components during or after assembly. This enables immediate reaction to deviations and prevents incomplete or incorrect products from moving downstream.

Applications: Mechanical assemblies, electronic modules, packaging lines, kitting processes.

Code Reading & Traceability

1D / 2D Code Recognition

Reliable identification and traceability under challenging conditions. We automatically read and decode barcodes, QR codes and DataMatrix codes even under conditions such as surface reflections or partial damage. This enables full product traceability and seamless integration with logistics, MES and quality systems.

Applications: Automotive parts, pharma packaging, food labels, defence components.

Dimensional Measurement

Geometry Verification

High-precision optical measurement for dimensional and geometric control. Our solutions perform real-time measurement of distances, positions and geometries to verify tolerances and correct assembly. This supports stable production and reduces downstream rework caused by geometric deviations.

Applications: Mechanical parts, assemblies, fixtures, alignment checks.

Color & Print Verification

Visual Conformity

Automated verification of color, print and visual consistency. AI detects deviations in color tone, print quality or visual appearance and verifies compliance with specifications and quality standards. This ensures consistent product appearance across batches and production lines.

Applications: Automotive parts (high gloss, types of black), consumer products, packaging, labels, coated parts.

Electronics & PCB Inspection

Electronic Assembly Quality

Automated inspection of electronic assemblies and PCB quality. The system detects missing or misplaced components, soldering defects, contamination and other anomalies affecting reliability. Inspection is performed inline and supports both quality control and process optimization.

Applications: PCB assemblies, electronic modules, control units.
Ideal For

Best Fit When

AI quality control delivers the highest impact when specific conditions are met.

  • Quality issues directly impact customer trust or cause escalations
  • Manual inspection is costly, inconsistent or difficult to scale
  • Visual defects are complex, variable or hard to define with rules
  • Quality data needs to be connected to production and decision-making
  • Working force reduction & automatization is required
Our Method

How We Approach AI Quality Control

We don't deploy standalone inspection systems.

Each AI quality control solution is designed as part of a broader manufacturing digitalization context:

Connected to production dataAligned with process logicPrepared for future expansion and optimization

This ensures measurable impact, not just local inspection results.

Let's Discuss AI Quality Control

If AI-based quality control is a strategic topic in your production, let's discuss whether it makes sense for your environment.

Schedule a Consultation

Trusted by manufacturers across industrial sectors