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Contents VISION N yearbook 2019/2020 Contents Factory 2050 AI at Bosch Business development 6
Greg Blackman takes a tour of the University of Sheffield’s Factory 2050
12
Wolfgang Pomrehn, at Bosch Rexroth, says the company could cut engineering costs significantly using deep learning
14
Dominique Bonnisseau and Corinne Tsamba, from Tematys, suggest questions technology firms should ask in order to grow their business
Recruitment Skills shortage Training R&D investment 16
Greg Blackman asks machine vision firms what strategies they employ when hiring staff
22
Danny Reed, at PPMA Best, on the charity’s work to increase the number of female engineers
24
Dan McCarthy, from the US Association for Advancing Automation, reports on machine vision training programmes
26
Julian Heaton, at Innovate UK, looks at the support available from the UK government to encourage innovation
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China Vision Stuttgart 2020 Standards: GenDC Standards: 28
The China Machine Vision Union’s Jin Pan updates on the machine vision market in China
30
Florian Niethammer, at Messe Stuttgart, assesses the changes taking place in the vision market
32
Stéphane Maurice, GenICam vice chair, describes the benefits of GenDC, the latest member of the GenICam standard family
OPC Machine Vision Roadmap Suppliers’ directory Find the vision suppliers you need Editorial and administrative team
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Imaging and Machine Vision Europe is published by Europa Science Ltd, 4 Signet Court, Cambridge CB5 8LA, UK Tel: +44 (0)1223 221030 Fax: +44 (0)1223 213385 Web:
www.europascience.com ISSN: 1745-5758
Yearbook 2019/2020 • Imaging and Machine Vision Europe 5 36
Suprateek Banerjee, VDMA Robotics and Automation, updates on the OPC Machine Vision companion specification
38
A round-up of what vision companies will be concentrating on in 2020
44 Leader Greg Blackman Data learning
eural networks have had a monumental rise to prominence over the last few years. Te technology is not new, but it’s
only been recently that its potential has started to be realised. Manufacturers, as with most aspects of society, are busy assessing the capabilities of deep learning and how artificial intelligence can be built into production lines. On page 12, Bosch’s Wolfgang Pomrehn describes the company’s plans for using AI to reduce the engineering effort required to add a new product variant to a manufacturing line – Pomrehn thinks that by using AI the cost of re-engineering a production line to incorporate new products could be cut to a quarter of what it currently costs. Aerospace companies also have AI on their
radar. Te University of Sheffield’s Advanced Manufacturing Research Centre is testing instances of deep learning technology on behalf of its clients, including Rolls-Royce, Boeing, BAE, and Airbus. Kieran Edge at the AMRC’s Factory 2050 facility explained that the AMRC is tasked with validating a lot of new technology that aerospace and other firms want to bring into its production processes, and this includes machine vision and deep learning. Te article on page 6 explores some of the projects underway at Factory 2050. Recruitment, inspiring the next generation
of engineers, machine vision training, and new standard activities are also covered in these pages – all important topics for the future of machine vision.
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