Machine learning project
Glaston is involved in Finland’s Midas project, which focuses on artificial intelligence, and is Finland’s first machine learning project in industry.
Glaston’s research topic is focused on tempering machine artificial intelligence, aimed at a fully automated tempering furnace.
The Midas project continues Glaston’s work in using the opportunities created by digitalisation. Last year, digitalisation was supported by the glass industry startup event Step Change as well as the glass industry hackathon event Hack the Glass, which was held for the first time.
“Glaston seeks to be a frontrunner in both technology and business practices,” Glaston Corporation’s president and CEO, Arto Metsänen said. “We are now participating in the DIMECC-led artificial intelligence consortium, because it was planned from an industry perspective and we have great opportunities to apply artificial intelligence in our furnaces and in the analysis of our installed machines.
“We invest in business-oriented research and develop glass processing, where we are recognised as being at the absolute peak globally.”
Glaston invests in product development, particularly in developing digital and IoT-based products such as, for example, using analytics, raising automation, developing continuous monitoring, and proactive maintenance.
By using cloud services and the opportunities provided by IoT, Glaston helps its customers use their machines as efficiently as possible. As a frontrunner in its field of business, the company said it was the first to bring to the glass processing market a service that enables customers to monitor production in real time.
