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Deep Learning Approach at the Edge to Detect Iron Ore Type

Deep Learning Approach at the Edge to Detect Iron Ore Type

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ec92dec8564a4f428e05b1b28ce1f193

Deep Learning Approach at the Edge to Detect Iron Ore Type

About this item

Full title

Deep Learning Approach at the Edge to Detect Iron Ore Type

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2021-12, Vol.22 (1), p.169

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

There is a constant risk of iron ore collapsing during its transfer between processing stages in beneficiation plants. Existing instrumentation is not only expensive but also complex and challenging to maintain. In this research, we propose using edge artificial intelligence for early detection of landslide risk based on images of iron ore transpor...

Alternative Titles

Full title

Deep Learning Approach at the Edge to Detect Iron Ore Type

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ec92dec8564a4f428e05b1b28ce1f193

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ec92dec8564a4f428e05b1b28ce1f193

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s22010169

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