Glass International May 2021

Page 59

Inspection

From intelligent machine to collective intelligence � Evolution NEO machines are able to identify the defect with precision, repeatability and at a high speed.

O

ver the past 10 years, new technologies have revolutionised the glass industry. And even if today we no longer speak of Industry but of Industry 4.0 to recall this 4th industrial revolution, we are still far from having exhausted the range of possibilities. While connected objects have already influenced and changed consumer dayto-day behaviour, they become essential in industrial processes, constituting one of the pillars of Industry 4.0. By giving life to ‘intelligent factories’, where tools and operators are now interconnected, intelligent machines are shaping Industry 4.0 and providing solutions in terms of productivity, quality and safety. Iris Inspection machines, one of the main players in glass inspection, is a pioneer in the field of intelligent glassware inspection. Based in Lyon, France, Iris dedicates a third of its workforce to Research and Innovation in the field of glass containers inspection. At the 2018 glasstec trade fair Iris launched the Evolution NEO range, the first generation of inspection machines equipped with artificial intelligence and machine learning.

Reliable data Where a standard inspection machine relies heavily on the knowledge and skills of the operators pursuing to define what is and is not acceptable, the NEO machines learn automatically from production, increasing the precision and the repeatability. “Glass inspection is a real optical challenge: the defect types are various, container shapes are complex. Glass is a ‘living’ material which makes the inspection even more challenging. “An operator, thanks to his professional experience, will be able to describe and detect a defect, to distinguish its shape, size, opacity. The full complexity of NEO development was to give machines this smart ability to recognise the defect. Now, Evolution NEO machine is not only able to identify the defect, and its characteristics as the operator would know, but also to do it with more precision, repeatability and at a high speed,” explains Mr. Philippe Volay CTO of the Group in charge of Optical R&D. Evolution NEO machines are equipped with the latest technologies in terms of software (image processing) and CPU, which can reach a very high level of accuracy in the gathering of production

data. “This is a crucial step in a process based on artificial intelligence. To secure machine learning, it is first necessary to ensure the accuracy and veracity of the data,” comments Mr. Majd Rahmani Iris Technical Director. Iris is thus developing a technology that breaks with the traditional inspection market, no longer relying on human know-how, but on the defect recognition and its classification. This first step was the successful launch of the Evolution NEO range in 2018. The Evolution Neo range, brings together the Evolution 12 NEO sidewall inspection machine, the Evolution Neo 5 Neo base and finish inspection machine, as well as solutions for perfume and pharmacy inspection. The Neo machine has been quickly adopted by an increasing number of glass groups internationally including Verallia, Vetropack, Gerresheimer, Bormioli, Vidrala and SGD Pharma.

From individual to collective intelligence If the concept of digital transformation leading to ‘smart factory’ remains Continued>>

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A new generation of Industry 4.0-focused inspection machines can learn automatically from production, which increases precision and repeatability, reports Jean-Luc Logel*.

55 Glass International May 2021

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Glass International May 2021

5min
pages 14-15, 17

History As fl at as a pancake

4min
pages 79-82

Event review: Mir Stekla Mir Stekla goes hybrid

3min
pages 76-78

Swabbing: Novaxion Novaxion joins Rondot Group

5min
pages 63-65

Appointment: Heye International Heye appoints French sales agent

4min
pages 72-75

Installation: Pneumofore Vacuum pump installed at IVC, Mexico

4min
pages 66-68

Furnaces: Sorg Laser scanning in plant repairs

5min
pages 69-71

Inspection: Iris Inspection Machines From intelligent machine to collective intelligence

4min
pages 59-62

Energy effi ciency: Grenzebach/CNUD Waste recovery system improves effi ciency

8min
pages 54-58

Recycling: Libbey Celebrating green co-operation

1min
pages 52-53

Furnaces: Glass Service Using AI for furnace imaging

8min
pages 47-51

Indian overview Container sector still strong

9min
pages 42-46

Profi le: British Glass President President aims to give recyclers a voice

10min
pages 19-21

Stara Glass & Glass Futures Stara Glass wins Glass Futures contract

9min
pages 22-26

Digital glassmaking: Joon X How AI makes furnaces more energy effi cient using data analysis

8min
pages 35-38

Environment: C-Capture Could carbon capture work in glassmaking?

6min
pages 27-30

Editor’s Comment International news

14min
pages 6-13

Hydrogen in Glassmaking preview 16 speakers to discuss hydrogen’s potential

6min
pages 31-34

Digital glassmaking: PGP Glass PGP brings digital to the industry

5min
pages 39-41
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