NEWS European Machine Vision Association celebrates 20th anniversary
By Thomas Lübkemeier EMVA General Manager
This year marks a special milestone in EMVA history. Twenty years ago, the association was founded at the first ever EMVA Business Conference on 24 May 2003. Looking back, the foundation of the EMVA has been the result of a great European initiative. By the early 2000s, the machine vision business was already very international with most of the vision companies being small(er) and founder-managed companies. The time was ripe and the industry was ready to join
forces cross-border. In 2002, the General Secretary of the Machine Vision Group at VDMA and Gabriele Jansen, then member of the Board of this group, were tasked to take the initiative and gather European support for a truly European vision association. Leading players from all over Europe were invited to send delegates into a European Vision Steering Committee. This was the start of a
successful pan-European collaboration. All aspects of competition were set aside and vision entrepreneurs and leaders from 12 European countries worked together for a year towards the ideation, the structure and the mission of the European Machine Vision Association. In parallel, this team planned the first ever European Vision Business Conference to take place in
2003 in Barcelona, where the EMVA was actually founded by 43 European companies and the first Board of Directors was elected. From then on, the EMVA Business Conference grew to the pivotal European event of the machine vision community and took place in 19 European cities (including Seville 2023), plus two virtual ‘pandemic’ conferences. In 2012, the EMVA became an independent, not-for- profit and member-owned industry association. Since then, membership has grown to currently more than 150 members. The associations’ activities to serve the interests of its members have continuously broadened. Standardisation under the G3 initiative became a pillar of its work, paving the way for the breakthrough of machine
vision technology in so many industry verticals with globally accepted and widely used standards such as GenICam and EMVA 1288. New initiatives were born, such as the annual European Machine Vision Forum as a meeting platform for research and industry, and during or around trade shows EMVA get-togethers always are among the most popular. Since 2020, Dr Chris Yates is acting EMVA President, and together with General Manager Thomas Lübkemeier and the whole EMVA team they are looking forward to celebrating the 20th EMVA anniversary during the EMVA Business Conference 2023 from 4-6 May in Seville, the country where the association was born two decades ago. More info about the conference can be found at
www.business-
conference-emva.org.
Today’s Machine Vision News: CoaXPress supports fiber BitFlow announces the Claxon-Fiber
Raspberry Pi launches £50 global shutter camera
Raspberry Pi has introduced a new camera with a global shutter, enabling it to capture rapid motion without creating image artefacts. Built around Sony’s
1.6-megapixel IMX296 sensor, Raspberry Pi said it is well suited to machine vision applications and sports photography. Te company’s previous
• Four fiber optic links, each carrying 12.5 Gb/S • Supports one to four cameras • CoaXPress 2.0 compliant • Standard QSFP+ cage • PCIe x8 Gen3
www.bitflow.com
cameras have been based on a rolling shutter sensor. Tese have a two-dimensional array of light- sensitive pixels that generate an analogue value proportional to the amount of light falling on the pixel during the exposure time. A row of analogue-to-digital converters (ADCs) converts the analogue values into digital values. Te row of ADCs is connected
to each row of the pixel array in turn, so each row is sampled at a slightly different time. While this isn’t a problem when imaging static scenes, for moving scenes – particularly those moving fast – rolling shutter artefacts are observed. Linear motion results
in compression, stretching, or shearing of the moving object, while rotary motion can create even stranger-looking shapes. Such artefacts are difficult to correct and can interfere with the operation of machine vision algorithms. To eliminate image artefacts, a
global shutter sensor is used. Tis pairs each pixel with an analogue storage element, meaning that when the shutter fires, each pixel immediately copies its analogue value into its storage element, from where it can be read and converted at leisure. Te storage element adds complexity and area to each pixel. Global shutter sensors therefore tend to have a lower resolution than rolling shutter sensors of the same size. Te new Raspberry Pi Global
Shutter Camera combines the C/ CS-mount metalwork of the firm’s High Quality Camera with Sony’s IMX296 sensor. It can be used with any Raspberry Pi computer that has a CSI camera connector.
@imveurope |
www.imveurope.com
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