‘Deep Learning in Industrial Quality Inspection: Experiences from the field’   #EMVAconference

The EMVA is happy to welcome Michal Czardybon, General Manager at Adaptive Vision, presenting at 16th EMVA Business Conference.

Michał Czardybon is the general manager of Adaptive Vision. In the past he was working as a software engineer for a Polish software house, Future Processing. Initially it was in the field of intelligent video surveillance, but later changed to industrial machine vision. Michał then originated the idea of a visual programming environment for machine vision engineers and started Adaptive Vision as an independent business unit. Currently manages its exponential growth and further development directions, which most notably include the game changing technology of deep learning.

Abstract of  Michal’s presentation:

Deep learning is an exciting new technology, but we still need more understanding on how it can be effectively used on the mainstream industrial market. At Adaptive Vision we have developed a software module that extends our standard product and is dedicated specifically for quality inspection. It responds to some specific market needs that were difficult to meet with traditional algorithms in the past. By by getting continuous feedback from early adopters we have built much better understanding of these needs. Our conclusions, discussed in the presentation, are related important technical aspects, but also to at least as interesting human factor issues.

The EMVA Business Conference will take place 7-9 June 2018 in Dubrovnik, Croatia.

Find all conference details at www.business-conference-emva.org

Dimagy is a french company dedicated to vision systems engineering. Our expertise relies on the objective analysis of imaging components: we bench, measure, compare cameras, lenses & lightings to get a reliable system for each application.
We provide image quality evaluation material (software, charts, lightings etc.) and consulting services, real-time image processing libraries, and custom development of vision applications based the world leading APIs.

With a broad spectrum, which includes all components necessary for image processing, the NOTAVIS GmbH addresses customers with its own image processing department, like e.g. large engineering companies (OEMs), the manufacturing industry (automotive and supplier industry, automation and system suppliers) and integrators. The portfolio includes industrial cameras, image processing software, IPC and other components.

National and international leaders have been acquired as partners: In the field of industrial cameras Dahua Technologies Ltd., China, for smart cameras and embedded systems Vision Components GmbH, Germany, and Fabrimex Systems AG from Switzerland for industrial computers. The image processing software area is covered by the NOTAVIS software suite based on the Halcon library and complemented by the NOTAVIS WebApp, a web-based app for code reading, presence control and pattern recognition (also based on Halcon).
In addition, NOTAVIS also offers application-specific solutions that are developed together with the customer.

NOTAVIS is a subsidiary of Vision Components GmbH in Ettlingen. Managing director and sales manager is Thomas Schweitzer. He has more than 25 years of sales experience, including 18 years in the field of machine vision.

Arnaud Darmont coordinates standardization activities of the association.

The European Machine Vision Association (EMVA) has appointed Arnaud Darmont as new EMVA Standards Manager. Arnaud will be responsible to promote the European machine vision standardization activities worldwide and to coordinate the development process of machine vision standards. In addition, in a rapidly changing industrial environment another major task will be to identify new standardization needs.

“We are thrilled to have Arnaud joining the EMVA team to fill such an important role as Standards Manager. He brings profound and long machine vision experience in engineering, management and marketing; and has been working on CMOS image sensors, industrial cameras, image quality, and embedded processing. Furthermore, Arnaud is one of the developers of the EMVA1288 standard. We are looking forward to working with him to take the EMVA standardization activities to the next level”, says EMVA President Jochem Herrmann.

Since almost 15 years, the European Machine Vision Association (EMVA) is hosting the development of standards for the machine vision industry with the now well-known and widely used standards Gen<i>cam and EMVA1288. Gen<i>cam standardizes the high level interfacing of a vision device and a computer. EMVA1288 is a characterization and specification procedure for image sensors and cameras used in machine vision.

Since 2009, the EMVA is collaborating with other international machine vision associations worldwide to work towards a standardization of the technologies and processes in our industry. These joint global standardization activities have become a pillar of the success of machine vision technology in numerous industrial and non-industrial applications.

Neil Martin from MVPro Media caught up with Boaz Arad, winner of the EMVA Young Professional Award 2017, and asked him about his position as CTO of the start-up company HC-Vision.

Evaluation of machine vision markets in France.

The European Machine Vision Association (EMVA) has published its 2017 Market Report “Machine Vision in France”.
EMVA non-members can obtain the 56 paged pdf-report at a price of € 345,- plus VAT through info@emva.org.

The 56 page report maps the machine vision activities in France in all its facets. It covers the machine vision industry, their customers as well as technical and commercial trends. In addition, the “eco system” for machine vision is described, including clusters, research centers and associations, trade shows and special magazines. This is being supplemented by market and growth drivers and an estimate of the market volume.

The report identifies more than 440 players in the French machine vision market, including manufacturers of components and systems, integrators, direct sellers and distributors as well as a long list of universities and research institutes with strong vision competence. All of them are listed by name and website in the report.

“Integrators play an important role in the industrial implementation of machine vision in the French machine vision market. Also, with no dominant component manufacturing scene the role of national distributors and direct sales of components from international players is rather distinguished in France. In addition, due to the overall structure of the French economy national customers of vision technology tend to be either big corporate entities such as from the aerospace, military or automotive sector or rather small, leaving a gap in the SME sector that is quite strong in other European countries”, says Andreas Breyer, EMVA’s Director of Market Research and adds: “What is remarkable is the distinctive strength France shows in the research sector. More than 40 percent of the players we identified are active in machine vision or computer vision research or education.”

With the current 2017 market report the EMVA continues the strategy to investigate the European markets through the eyes of the machine vision industry. EMVA non-members can obtain the pdf-report at a price of € 345,- plus VAT through info@emva.org.

Chronocam’s technology strategy is built on a straight-forward premise: in order to enable a safer, more efficient world though the capabilities of machine vision, we need to re-think traditional vision and processing. Our technology introduces a new computer vision paradigm based on how the human eye and brain work. Our approach significantly improves the performance and power efficiency of how computer vision can be implemented in a wide range of products and applications that improve the convenience and safety of our daily lives. Chronocam addresses head on the obstacles faced by previous generations of camera technology to meet the needs of modern applications in automotive, consumer, IoT, and industrial products.

‘Deep learning for machine vision’

Olivier Despont, ViDi Product Marketing Specialist at Cognex, presents at the 2017 Embedded VISION Europe conference.

Passionate by innovative and cutting-edge technologies, Olivier Despont spent the last 3 years working for ViDI systems SA, a swiss leading AI software company developing the business and setting up the sales channel to promote its Deep Learning Software in Asia and North America.  Following the recent acquisition Olivier is now the Product Marketing Specialist for Deep Learning at Cognex.

Olivier holds a Master degree in Management from Fribourg University (Switzerland) and Napier University in Edinburgh (Scotland).

Abstract of  Olivier’s presentation:

Today, enterprises are leveraging Machine Vision solutions for extending the capabilities of manufacturing machines through image processing and analytics. To interact with the world in a meaningful way, machines must first understand images. However, traditional computer vision solutions are limited in performance and can hardly manage changing or unpredictable environments. In real-time operation, conventional solutions require supervised learning, extensive training and faster computing, thereby, limiting the success of machine learning-based products to content filtering and speech recognition. Hence, the gap between what can be done with Artificial Intelligence (AI) in the lab and what is done in real-world applications is huge. Cognex Corp, with its new Deep learning Tool Suite bridges the gap by allowing Machine Vision companies across multiple industries to create ground-breaking inspection systems to tackle otherwise impossible to program both functional and aesthetics anomalies inspection & classification.

 

The debut of EMVA’s brandnew conference Embedded VISION Europe, supplemented by an already well booked table top exhibition, will take place 12-13 October 2017 in Stuttgart.

Find all conference details at www.embedded-vision-emva.org

‘Enabling Computer Vision and Deep Learning for Real Life’

Alexey Myakov, Chief Computer Vision Advocate at Intel Corporation, presents keynote at the 2017 Embedded VISION Europe conference.

Alex serves as Chief Computer Vision (CV) Advocate at Intel. In this role he contributes to collaboration across Intel with regards to all aspects of CV and DL, works with IoTG’s BUs on various markets’ and customers’ CV requirements as well as drives data related activities across Intel.

He joined Intel in July, 2016 through acquisition of Itseez Inc (widely known as a developer and supporter of OpenCV) by Intel. Formerly the CEO of Itseez, he joined Itseez in 2013 as Chief Marketing Officer (CMO) with a mandate to grow business and turn the company around by focusing it on products vs services.

Alex got a diverse technological and business background. He ran 3 start-up companies in the biomedical field (early cancer diagnostics) from 2003 till 2006 and worked as a VP, Business Development/Sales at the software company MERA from 2006 to 2013.

He holds BSc and Msc in Physics, and did post graduate studies at the Institute of Applied Physics of Russian Academy of Sciences and University of Texas at Austin in Physics and electrical/biomedical engineering respectively.