LEAFLET AF-INSPECT

In line Inspection solution for your AFP-ATL processes

In line Inspection solution for your AFP-ATL processes

Composite materials are being increasingly used in the industrial sphere.
In order to ensure quality production, inspection times on production lines are increasing.
The automated application of composite fibers is a complex task (AFP-ATL).

 

In most cases, the surface inspection stage is entrusted to operators. The ergonomic constraints are numerous: the accessibility of the areas to be inspected, the size and diversity of the defects and materials. Beyond the costs involved, the results may lack of reliability, which leads to customer returns, costly scrapping of parts and dissatisfaction.

The solutions of artificial vision (sensors associated with software) answer the constraints of these manual operations:

  • 100% control in the production flow with a significant improvement in productivity;
  •  Complete or partial automation of the control cycle: flexible integration solution;
  • Precise and repeatable measurements and detection thresholds;
  • Automated quality management with statistical and traceability tools.

 

To meet your needs, EDIXIA AUTOMATION offers a surface inspection system integrated to your AFP-ATL processes, with control solutions adapted to the constraints of your production lines.
Learn more about our AF-INSPECT brochure, the benefits of surface inspection of AFP-ATL processes.

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    EDIXIA AUTOMATION designs artificial vision systems that detect defects on produced parts. The deployment of these automated tools reduces costs, makes inspection more reliable and provides a solution to the shortage of manpower. These surface inspection solutions integrated on production lines guarantee quality and enhance production by classifying the parts produced. As a partner in your digital transformation, EDIXIA AUTOMATION optimizes the competitiveness of your industrial site. Your need for quality production is our priority. We study your requests and transform them into partner projects.