INFORMATION
FIND US
Headquarters Lyon
215 Chemin du Grand Revoyet
69230 Saint-Genis-Laval
France
INFORMATION
FIND US
Headquarters Lyon
215 Chemin du Grand Revoyet
69230 Saint-Genis-Laval
France
“True AI that works for me”
The name says it all: A plug-in, open-protocol digital platform… nothing less than fully functional A.I. that links the sensors of inspection systems with production machines and transfers information that is automatically acted upon.
It sounds too good to be true and would be without in-depth knowledge of the hollow glass forming process combined with automation and sensor expertise, backed by a vast experience in both hot and cold end inspection.
Fortunately GlassFORM.ai is backed by two major market players: Bottero and Tiama – both with expertise in glass forming, process automation and artificial intelligence.
“True AI that works for me”
The name says it all: A plug-in, open-protocol digital platform… nothing less than fully functional A.I. that links the sensors of inspection systems with production machines and transfers information that is automatically acted upon, while enabling deep/machine learning.
It sounds too good to be true and would be without in-depth knowledge of the hollow glass forming process combined with automation and sensor expertise, backed by a vast experience in both hot and cold end inspection.
Fortunately GlassFORM.ai is backed by two major market players: Bottero and Tiama – both with expertise in glass forming, process automation and artificial intelligence.
Products developed for tomorrow, today
One says that necessity is the mother of invention, which is definitely the case with the GlassFORM.ai products.An average of 15% production efficiency losses, stricter emission control, decreased glass defect tolerance, personnel experience and safety. These (amongst other) factors that no product currently on the market has satisfactorily mastered, led to the creation of GlassFORM.ai and its product range.
GORBexpert is an automation software allowing the close loop of the gob forming process and FORMexpert, is evolving to embrace a wider set of automatic controls and applications, combining all glass making production steps. Through this approach, a digital twin of the production process will be built, to describe its behaviour in relation to the many variables influencing its evolution over time. Time correlation between data (contextualization) will thus be essential to identify root-cause effects and organize the data in a proper way to feed Machine Learning algorithms.
AI techniques will be then applied to create a global system to control and optimize the production process.
Products developed for tomorrow, today
One says that necessity is the mother of invention, which is definitely the case with the GlassFORM.ai products. Production losses of up to 15%, stricter emission control, decreased glass defect tolerance, personnel experience and safety. These (amongst other) factors that no product currently on the market has satisfactorily mastered, led to the creation of GlassFORM.ai and its product range.
GORBexpert is an automation software allowing the close loop of the gob forming process and FORMexpert, is evolving to embrace a wider set of automatic controls and applications, combining all glass making production steps. Through this approach, a historical “knowledge” base of the production process will be built, to describe its behaviour in relation to the many variables influencing its evolution over time. Time correlation between data (contextualization) will thus be essential to identify root-cause effects and organize the data in a proper way to feed Machine Learning algorithms.
AI techniques will be then applied to create a global system to control and optimize the production process.
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Employees or other key fact
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Maybe we can add facts about the parameters and data points in bottles like we had in the YOUniverse and in Thomas’ presentation or leave it out for now…
Mastering the challenges
The average of 15% productivity loss in glass plants can be drastically reduced by moving from a reactive approach based on an empirical process to a statistical, well mastered and fully automated model. The development of the GlassFORM.ai products is based on the needs of the glass makers: not only to help them meet challenges but to fit seamlessly into their process.
It is open to any and all IS machines and sensors on the market ultimately is a support system for the production managers that creates a safer environment for the operators of today and is geared to the workforce of the future.
Mastering the challenges
The average of 15% productivity loss in glass plants can be drastically reduced by moving from a reactive approach based on an empirical process to a statistical, well mastered and fully automated model. The development of the GlassFORM.ai products is based on the needs of the glass makers: not only to help them meet challenges but to fit seamlessly into their process.
It is open to any and all IS machines and sensors on the market ultimately is a support system for the production managers that creates a safer environment for the operators of today and is geared to the workforce of the future.