Cloudified Analysis of Multi-sensorial Data for Optimised manufacturing
Description
Challenge:
Over the last years Deep Learning has revolutionized artificial intelligence leading to new products. Nonetheless it has not substantially reached manufacturing industry where most of production relies on human experience and manual inspection. CloudEcho attempts to bridge this gap providing a cloudified Big Data ecosystem for the analysis of multi-sensorial data for automated quality control and production planning in a challenging use case of Hard Metal industry.
Solution:
Not described.
Implementation time: 12 months.
Implementation cost: € 26, 600 + € 33,500 + € 13,875 + € 25,550
Output:
Not described.
Impact:
Not described.
This is a application experiment supported by CloudiFacturing in its second wave (seemore information about this experiment in project’s site)
Project:
Enterprises:
Durit Metalurgia Portoguesa Do Tungstenio LDA (DURIT); The Centre for Research and Technology Hellas (CERTH); Ormylia Foundation (OF-ADC); Brascontrol Unipessoal, LDA (Brascontrol); ‘
Sector
Metal
Keywords
