The 4th European Machine Vision Forum took place from September 4 to Friday, September 6, 2019, in Lyon, France.
“Deep learning alone is not enough – overall system optimization is needed.”
This sentence summarizes the conclusion of the Forum, where research and industry met. The focal topic “Photonics and Machine Vision: Going Deep into Integration” suited well into the hosting technology region of Lyon with Grenoble and St. Etienne close by. Starting point for this main topic was a look into nature. Over millions of years, biological vision systems have developed which not only have a high learning ability but also developed very different eyes specifically adapted to the individual tasks in terms of spatial resolution, wavelength sensitivity, color vision, motion sensitivity and reaction time.
The program featured a further 25 presentations and an accompanying exhibition. The participants honored the high quality of the presentations, the professional organization of the event and the numerous opportunities for exchanging ideas between research and industry.
Outlook on the 5th European Machine Vision Forum 2020
At the end of the event, the 5th European Machine Vision Forum was announced by the local Chair, Prof. Peter O’Brien to take place from 10-11 September 2020 at the Tyndall National Institute in Cork, Ireland. The focal topic then – “Accuracy, Reliability and Limits of Machine Vision” will again be an ideal theme for communication between researchers and industry, since research can explore the theoretical limits and the industry can demonstrate the current state of technology.
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Takashi Someda leads Hacarus engineering and product development from its Kyoto headquarters, spearheading the roll-out of Sparse Modeling-based AI tools. Takashi holds a Master’s Degree in Informatics from the prestigious Kyoto University and manages the company’s academic advisory board including Professors from Kyoto, Shiga and Tohoku University. Takashi is a frequent and appreciated guest speaker at conferences on topics such as Machine Learning, Artificial Intelligence, and edge devices.
Jagan Ayyaswami has over 23 years of experience in the semiconductor industry. He is currently the Sr. Director of Mobile Architecture and Systems in Micron Technology Inc. Prior to Micron he worked in Qualcomm Corporation for 12 years in various Engineering Management roles. He holds a MS degree in Computer Engineering from Iowa State University in the US and a Bachelor of Engineering degree from the University of Madras, India.
Pierre Gutierrez | Lead machine learning researcher at Scortex 
During the 17th EMVA Business Conference in Copenhagen, a high-level and controversy panel discussion titled “How will Embedded Vision impact our future?” attracted the attention of the more than 100 attendees.
The EMVA Board of Directors Meeting on July 17th, 2019 took place in the premises of Silicon Software in Mannheim. We would like to thank Silicon Software, in particular Dr. Klaus-Henning Noffz, CEO and Chairman of the VDMA MV Board, for their kind hospitality and support.
“Autonomous data-logger with ULP imager”
Michael Engel is a physicist who has been working in the field of image processing since 1982. At the VISION 1995 trade show, Michael Engel presented a fully functional VC11 prototype – the first intelligent camera – or embedded vision system in today’s words – for industrial applications, which he had developed from scratch all on his own. Soon after, early in 1996, Vision Components was founded.
“Embedded Learning and the Evolution of Machine Vision”
Vassilis Tsagaris founded Irida Labs in 2009 with the aim to bridge the gap between a camera and a human eye by bringing visual perception to any device, making embedded computer vision accessible to everyone. Today, as CEO of Irida Labs he is responsible for corporate strategy, business partnerships and business development worldwide.
Gion-Pitschen Gross has been working for Allied Vision since 2016 and has been responsible for a wide range of products from short-wave infrared cameras to a portfolio of GigE cameras. Since last year he is responsible for the new Alvium Camera Series which bridges the gap between machine and embedded vision.
Bram Senave began his career at On Semiconductor as a product engineer. In 2018 he joined easics, a System-on-Chip design services company targeting both ASICs and FPGA, as business Development Manager. His prime focus is to help easics’ customers and partners to integrate the right technology in their embedded systems. An example is the recent developed easics’ IP for Deep learning (AI).
