Dozens of studies have already examined the adoption rate of artificial intelligence (AI) in companies. The vast majority come to the same conclusion: companies have recognized the great potential for optimization, but still rarely use AI systems in regular operations.

In a survey of more than 100 quality experts, we demonstrated that while the limitations of manual quality control are widely recognized, their actual extent is often underestimated. If these risks in manual inspection are not adequately addressed, it inevitably leads to high costs due to customer complaints or pseudo-scrap.

Discover the advantages and disadvantages of developing your own AI-based solution for visual quality inspection in our white paper – and learn when it becomes strategically relevant.