A global paper manufacturer, wanted to improve its product quality by optimizing its production process. At a preliminary stage of paper production, pulp bales are transported into a dissolving basin. The paper manufacturer had not been able to successfully identify each bale by the imprinted lot number in order to match it against information in the system and clearly detect its composition. This is essential to enable an individually adapted production process and achieve the highest possible quality of the end product. Basler cameras record the incoming pulp bales from four sides to capture the imprint and send their data to the machine vision unit, which detects the lot number and matches it with the database to eventually report the quality details of the bale to production. The industrial PC used in this system is a Neousys Technology Inc. unit, and it also uses a Siemens PLC. The core of the solution is MVTec's HALCON deep learning-based OCR.
At the beginning of 2022, Vision Systems Design deployed our third “Solutions in Vision” survey to our readership. Overall, 515 participants answered questions about a variety of machine vision technologies and how often they use these technologies for the industries they serve. The survey results culminate in a robust report covering the vision/imaging market, including much more information than what can be covered in a single article. Use the link above to download the full report.
Use this roundup of articles to help you plan your trip to Stuttgart or to get an idea of what will be happening at the show this year.