Quality Control

Powered by AI image processing.

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 is also checked. This allows an early reaction to malfunctions.

Wahtari Quality Control (PDF | 0.6 MB)

Areas of application

Artificial intelligence as a tool for Quality Control

Object detection

Classification into different categories. 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. For example labels, engravings, product marking.

Completeness check

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

Modern AI systems form an essential basis for the automation of visual quality control. Using deep neural networks, they 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 that the products are completed flawlessly 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 exploit the full potenti-al of AI technology and to be able to react immediately to the collec-ted data, realtime data proces-sing on AI hardware is useful. Wahtari offers 100% AI edge solutions.

 
 

Modern AI systems form an essential basis for the automation of visual quality control. Using deep neural networks, they 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 that the products are completed flawlessly 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 exploit the full potenti-al of AI technology and to be able to react immediately to the collec-ted data, realtime data proces-sing on AI hardware is useful. Wahtari offers 100% AI edge solutions.

 

Advantages of Wahtari AI systems

AI Model | AI Software | AI Hardware
High precision
Even minimal production errors are reliably detected.
Extrem 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 via API.
Reduce the strain on personnel
Adjustments can be made without programming.

Quality Control in your company

Interested?   

How to get your quality control solution:

1) Initialization meeting: Clarify the general conditions

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

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