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EMVA Names New President, Board Members

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ATHENS, June 15, 2015 — Jochem Herrmann, cofounder and chief scientist of the Dutch camera manufacturer Adimec Advanced Image Systems BV, is the new president of the European Machine Vision Association (EMVA). He succeeds Toni Ventura-Traveset (Datapixel SL, Spain).

EMVA leadership

The leadership team of the European Machine Vision Association includes, from left to right, Jean Caron, Kai-Udo Modrich, Gabriele Jansen, Jochem Herrmann, Michel Ollivier and Toni Ventura-Traveset. Courtesy of EMVA.


Association members also elected two new directors: Kai-Udo Modrich, managing director of Carl Zeiss Automated Inspection GmbH & Co. KG, and professor Bernd Jähne, who heads the Heidelberg Collaboratory for Image Processing at Heidelberg University.

The association confirmed existing board members Gabriele Jansen of Vision Ventures GmbH & Co. KG in Germany; Michel Ollivier of Tiama (MSC & SGCC SAS) in France; Jean Caron of Euresys SA in Belgium; and Ventura-Traveset.

Ollivier is the new EMVA vice president, and Caron takes over as treasurer.

Dirk Käseberg of Mettler-Toledo Garvens GmbH in Germany has resigned from the board to concentrate on increased responsibilities in his company but will continue to work with EMVA in a less formal manner.

Founded in Barcelona in 2003, EMVA has about 100 members representing more than 20 nations. Its aim is to promote the development and use of machine vision technology and to support the interests of its members: machine vision companies, research institutions and national machine vision associations.

The association's main fields of work are standardization, statistics, the annual EMVA Business Conference and other networking events, European research funding, public relations, and marketing.

For more information, visit www.emva.org.


Lambda Research Optics, Inc. - Custom Optics

Published: June 2015
Glossary
machine vision
Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
Businessmachine visionEuropeEMVAEuropean Machine Vision AssociationJochem HerrmannNetherlandsAdimecToni Ventura-TravesetDatapixelSpainKai-Udo ModrichCarl Zeiss Automated InspectionBernd JahneHeidelberg UniversityGabriele JansenVision VenturesGermanyMichel OllivierTiamaFranceJean CaronEuresysBelgiumDirk KasebergMettler-Toledo Garvens

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