Summary
Our solution is the first complete AI-driven drill core mapping solution. It is unique among drill core assay methods used in mining: it will use data gathered by a sensor, non-destructive to the samples, to provide the user with not only data, but also with automatically generated geological mapping. Digitalising and automating this part of workflow will increase objectivity and consistency of sample analysis, as well as decrease the amount of manual work required by a geologist.
The datasets generated by Minalyzer CS, our patented sensor (SE1000537, granted in Sweden, Finland, Canada and Australia), are characterised by the highest quality and consistency. Manual mapping based on them may still take from weeks up to a year and be subjective or biased. The introduction of the AI mapping functionality will reduce that time to minutes, with human oversight necessary for quality control only.
This will be the next step in the Minalyze-led transformation of the mining industry.
The datasets generated by Minalyzer CS, our patented sensor (SE1000537, granted in Sweden, Finland, Canada and Australia), are characterised by the highest quality and consistency. Manual mapping based on them may still take from weeks up to a year and be subjective or biased. The introduction of the AI mapping functionality will reduce that time to minutes, with human oversight necessary for quality control only.
This will be the next step in the Minalyze-led transformation of the mining industry.
Unfold all
/
Fold all
More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/190149849 |
| Start date: | 01-05-2022 |
| End date: | 30-04-2024 |
| Total budget - Public funding: | 2 785 125,00 Euro - 1 944 337,00 Euro |
Cordis data
Original description
Our solution is the first complete AI-driven drill core mapping solution. It is unique among drill core assay methods used in mining: it will use data gathered by a sensor, non-destructive to the samples, to provide the user with not only data, but also with automatically generated geological mapping. Digitalising and automating this part of workflow will increase objectivity and consistency of sample analysis, as well as decrease the amount of manual work required by a geologist.The datasets generated by Minalyzer CS, our patented sensor (SE1000537, granted in Sweden, Finland, Canada and Australia), are characterised by the highest quality and consistency. Manual mapping based on them may still take from weeks up to a year and be subjective or biased. The introduction of the AI mapping functionality will reduce that time to minutes, with human oversight necessary for quality control only.
This will be the next step in the Minalyze-led transformation of the mining industry.
Status
SIGNEDCall topic
HORIZON-EIC-2021-ACCELERATOROPEN-01Update Date
09-02-2023
Geographical location(s)