Quality Control

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Use Cases
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Highlights
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An AI-based inspection system can reliably detect complex situations and geometries regardless of the number, size, shape, material and position of the components – even under difficult viewing angles & lighting situations.

During the analysis of the product quality, the condition of the production machines can also be checked, enabling early detection of malfunctions and preventing costly production outages.

Quality Control (PDF | 1 MB)

Use Cases

End-To-End Solution from a single source

LPR/ Anpr | Personal Protective Equipment | Inspection of FFP2 Face Masks | Bark Inspection of Tree Logs | Inspection of Conveyor Belts | Inspection of Roof Tiles

Modern AI systems form an essential basis for the automation of visual quality control.

Deep neural networks can be trained to recognize complex patterns and microscopic material defects in order to identify and isolate damaged products.

The knowledge gained from the analysis of product quality can also be used to draw conclusions about the current state of production machines and processes. Artificial intelligence therefore not only ensures the high quality of your products but also that wear and tear and malfunctions of the machines are detected during operation. In this way, it is possible to react in real time to quality losses in order to minimize breakdowns and rejects.

In order to utilize the full potential of AI technology and to be able to react immediately to the collected data, real-time data processing on AI hardware is useful. Wahtari offers 100% AI edge solutions, so that your data does not leave your company network.

Automatic quality control simply explained

 

 

Areas of Application

Artificial intelligence as a tool for
Quality Control

Defect Detection
Even very similar objects are clearly
distinguished.

Object Detection
Even very similar objects are clearly
distinguished.

Surface Inspection
E.g. pores, inclusions, scratches, paint runners, orange peel skin.

Color Detection
E.g. color values, color gradients, discolorations, minimal deviations from the target value.

Text Recognition
Independent of language & font.

E.g labels, engravings, product marking.

Completeness Check
E.g. missing, surplus, wrong components or objects.

Advantages of Wahtari AI systems

AI Model | AI Software | AI hardware


Complex Tasks

We solve tasks that cannot be managed in simple ways.


High precision

Even minimal production errors are reliably detected.


Extreme performant

Detection of production errors in realtime.


Easy adaptation

Hassle-free training of new products & criteria.


Conserve resources

Fewer rejects through precise localization and identification of the defect.


Seamless integration

Easy integration with third-party applications & industry interfaces.

 

Quality Control
in Your Company

Interested?
How to get to your Quality Control Solution:

  • Initialization meeting: Clarify the general conditions

  • Decide on a quality control standard product or we create your individual solution

Quality Control (PDF | 1MB)
Hardware
Custom Solutions
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