Oliver Vietze

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Oliver Vietze, CEO & Chairman of Baumer Group, provides insight into what sensor manufacturers must do today to meet the demands of their users and take advantage of Industrie 4.0 for robotics applications.

Early Life and Education

Oliver was born in Cincinnati, Ohio and attended Sycamore High School where he performed in numerous musicals. Following graduation he went to Boyce College in Louisville for college where he took part in numerous productions as both an actor and assistant director.

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Professional Career

Oliver Vietze is the Chairman and CEO of Baumer Group. With more than three decades of experience in machine vision and photoelectric sensor solutions, as well as being a regular presenter at industry events. Additionally, Oliver serves as an adviser for numerous businesses.

He has earned a strong reputation in automation and industrial image processing. His company provides advanced machine vision solutions to manufacturers and industrial users worldwide.

Vietze has earned many honors and awards for his work, such as being awarded with the European Entrepreneur of the Year title in 2014. Additionally, he is the author of multiple books on machine vision technology.

Personal Life

Oliver Vietze serves as CEO & Chairman of Baumer Group from Frauenfeld in Thurgau Switzerland.

Successful IIoT, Industrie 4.0 and Smart Factories depend on extracting useful information from machine reality in an intelligent manner. To do so, successful implementation requires high levels of application competence as well as access to sensors with superior primary functions.

Miniaturization enables us to integrate extremely powerful computing power into very small sensors, turning them “smart” and enabling them to communicate via IO-Link with each other – for instance enabling temperature monitoring at multiple points within one machine without additional temperature sensors – saving costs, increasing overall equipment effectiveness and decreasing maintenance costs while at the same time improving transparency of machine operation and process data quality.