In production, the fast and reliable recording of text and numbers plays an important role. One way to accomplish this task is to use OCR (Optical Character Recognition) applications using Machine Vision solutions. This technology makes it possible to automatically recognize printed or digital text and convert it into machine-readable form.

However, a challenge when using OCR in production is that the text is sometimes difficult to access or of poor quality. For example, it may be obscured, damaged, or faded.

In addition to optimized lighting and image acquisition methods, the use of machine learning methods such as neural networks offers opportunities to improve the accuracy of OCR applications. The right choice of technology and the use of suitable solutions can ensure that text and numbers can be captured quickly and reliably.