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Open Neural Networks Hardware Implementation for Defect Classification Systems

Objective

Real-time classification of visible defects on flat and moving materials is a critical issue in quality control and management in many process-oriented industries.

ONNI-ADC aims to develop an advanced defect classification system prototype which will be based on a neural network system approach and OMI technologies.

The prototype will be tested in a real user manufacturing plant to validate the system performances and the results for the targeted markets.

The ONNI-ADC development process will consist of the identification of the needs and the requirements of potential users in Europe in sectors such as steel, aluminium and paper; the development of OMI neural network supercells; and the prototyping and testing of the final OMI-based defect classification system in a steel-making plant.

Topic(s)

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Call for proposal

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Funding Scheme

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Coordinator

Sema Group SA
Address
16-20 Rue Barbes
92126 Montrouge
France

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Participants (4)

ANSALDO RICERCHE SPA*
Italy
Address
Corso Perrone 25
16152 Genova

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CENTRO SVILUPPO MATERIALI SPA
Italy
Address
Via Di Castel Romano 100/102
Roma

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Ilva SpA
Italy
Address
Viale Castro Pretorio 122
00185 Roma

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UNIVERSITA DEGLI STUDI DI GENOVA
Italy
Address
Via Opera Pia 11 A
16145 Genova

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