SOLUTIONS
>
QUALITY CONTROL

NOT RANDOM
SAMPLES,
THE WHOLE PRODUCTION LINE

SOLUTIONS
>
QUALITY CONTROL

NOT RANDOM
SAMPLES,
THE WHOLE PRODUCTION LINE

Quality control shouldn’t depend on luck and optimism.

Random sample checks can provide an indication of overall quality, but defects in unchecked products can still make their way through the process. To avoid that we use computer vision to inspect every product, continuously and consistently, without slowing down production.

From surface defects and dimensional irregularities to missing components, damage, or unexpected visual changes, each item is evaluated against the quality criteria that matter to your operation.

The same technology can also inspect incoming materials, helping you monitor supplier quality and identify flawed materials before they ever enter production.

This means earlier detection, more consistent quality, and a clearer understanding of where and when problems occur.

How does it work?

Use existing cameras to
capture an image

No special hardware needed
in most cases.

Check for errors and defects

Our system checks for defects based on selected quality control parameters.

Classify

Assign quality classes based on the defined requirements.

Where can it be used?

PACKAGING

WOOD PRODUCTS

AVIATION

DEFENCE

AUTOMOTIVE

CERAMICS

QUALITY CONTROL IN PRACTICE

Surface
Defects

Detect scratches, cracks, stains, chips, and other visible
defects.
‍

Dimensional
Inspection

Check dimensions, shape, alignment, and other physical characteristics.
‍

Assembly
Verification

Detect missing, incorrect, or improperly positioned components.
‍

Incoming Material Inspection

Identify flawed materials before they enter production and monitor supplier quality.

Quality
Classification

Automatically classify and grade products according to defined quality standards.

QUALITY CONTROL IN PRACTICE

Surface
Defects

Detect scratches, cracks, stains, chips, and other visible
defects.

Dimensional
Inspection

Check dimensions, shape, alignment, and other physical characteristics.

Assembly
Verification

Detect missing, incorrect, or improperly positioned components.

Incoming Material Inspection

Identify flawed materials before they enter production and monitor supplier quality.

Quality
Classification

Automatically classify and grade products according to defined quality standards.

What would you like to inspect?

Every product, material, and production process has its own quality requirements. Click the button below to explore how computer vision can automate your quality control processes.
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