Innovative technologies from the fields of artificial intelligence (AI) and deep learning (DL) have achieved outstanding performance in recent years.
In the field of industrial production, the use of AI is often aimed at optimising more complex processes even with varying input data. Networked production, summarised under the buzzword "Industry 4.0", would be inconceivable without Big Data and artificial intelligence.
In the industrial sector, it is also particularly important to equip the individual production systems with artificial intelligence.
But how can artificial intelligence help to optimise industrial testing systems? In testing systems for electronic or automotive assemblies, the use of AI-based algorithms can improve classification processes or increase the depth of testing. However, AI also helps to completely automate time-consuming, manual activities, such as the definition of test programmes and test parameters.
Read more about developments at GÖPEL electronic here:
Artificial Intelligence
Reliable testing during assembly by hand
AI-based classification to control the placement of THT components on printed circuit boards or the manual assembly of electronic components in housings. Thanks to numerous cameras and Deep Learning mechanisms, a smart optical inspection module was created for integration into assembly and placement workstations - a system that adapts to the lighting conditions at the workplace.
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Das White Paper zum Thema KI
Künstliche Intelligenz ist schon jetzt in vielen Entwicklungen von GÖPEL electronic präsent und unterstützt Sie bei Ihrer täglichen Arbeit.
Jetzt noch mehr erfahren in unserem White Paper zu KI.