OCR applications

In production, the fast and reliable capture of text and numbers plays a crucial role. One way to accomplish this is through the use of OCR (Optical Character Recognition) applications via machine vision solutions. This technology enables the automatic recognition of printed or digital text and its conversion into machine-readable form.

One challenge when using OCR in production, however, 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 capture methods, the use of machine learning methods, such as neural networks, offers opportunities to improve the accuracy of OCR applications. By choosing the right technology and using suitable solutions, it can be ensured that text and numbers can be captured quickly and reliably.