AI based verification – The Next Level of Effectiveness

A major advantage of artificial intelligence is its ability to attribute evaluations to scenarios, a capability traditionally reserved for human reasoning. For quality control of electronic components, this means that components can be assessed holistically using innovative approaches. At the same time, established algorithms and measurement methods continue to deliver reliable results and remain essential in daily practice, even with the use of vAI.

Viscom’s AI based verification can significantly reduce the workload on employees while helping to avoid human errors. This optimizes the classification of inspection results cost-effectively, enhances product quality, and prevents unnecessary repairs and scrap. This saves on resources and supports a more sustainable production process.

Why Choose Viscom’s AI based verification?

Viscom’s vAI solution has been trained with millions of qualified images from real electronic production environments, providing a data set far beyond what a single production site could achieve in terms of defect variation. Viscom incorporates this extensive data into the training of the AI networks and supplements it with additional customer data. Each trained model is accompanied by an individual vAI Quality Report. This statistical report reflects performance, shows potential workload reduction in the verification process, and highlights the model's strengths and areas of potential optimization.

Three incremental modes facilitate the gradual and customized introduction of AI into the verification stations in real production environments: