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Description

inSITE. Insitu ore grading system using LIBS in harsh environments

| inSITE is an upscaling project funded by EIT Raw Materials |
LIBS is a promising tool for realtime analysis of low atomic weight critical raw materials such as Li. Solution on the market are plagued by inconsistent results and poor quantification performance. inSITE introduces a new solution where the concept of information transfer coupled with advanced AI algorithms and a knowledge database of mineral spectra enables true in-situ ore grading with a new generation of smart LIBS technology. 

Details

Details

  • Acronym

    inSITE
  • Start

    01st January 2020
  • Global Budget

    1.937.146,00 €
INESC TEC Team
Latest news

inSITE Project Newsletter #2

Read about our inSITE Project second year of life!

inSITE [Insitu ore grading system using LIBS in harsh environments] is an upscaling project funded by EIT RawMaterials and lead by INESC Technology and Science - Associate Laboratory.

+ info: https://mailchi.mp/27643eb27940/insite-project-newsletter-2

Subscribe here.

inSITE Project WORKSHOP | New Frontiers in LIBS: from Earth to Sea and Outer Space

If you miss the inSITE Project Workshop, do not worry, is now available on inSITE Project YOUTUBE Channel below!

The Workshop took place at the School of Engineering of Porto (ISEP), it was organized by INESCTEC with the support of EIT RawMaterials.

You can watch Day 1 of the Workshop here. Day 2 is available here.

inSITE Project Workshop | IN THE BLACK'21 SIDE EVENT

IN THE BLACK'21

25-26 November 2021
Hybrid Event

ISEP (School of Engineering of Porto | Auditorium Vítor Santos)

LIBS is a promising tool for real-time analysis of low atomic weight critical raw materials such as Li. Solution on the market is plagued by inconsistent results and poor quantification performance. inSITE Project, supported by EIT RawMaterials, introduces a new solution where the concept of information transfer coupled with advanced AI algorithms and a knowledge database of mineral spectra enables true in-situ ore grading with a new generation of smart LIBS technology.

So, if you want to learn more about LIBS and about INSite-Project, do not miss this opportunity that will also include a technical exhibition at INESCTEC's, Centre for Robotics and Autonomous Systems. During the exhibition, you will be face-to-face with several researchers involved in numerous projects, including INSite-Project, and you will have the opportunity to understand how the autonomous systems work, as well as other several technologies.

You will be able to get to know the most renowned speakers in the area of LIBS, underwater technologies, geo-robotics, mineral resources exploration, and many other fields will be covered! inSITE Project Workshop will enable networking between students, researchers, and stakeholders.

More information available here

Registration link here.

INESC Technology and Science - Associate Laboratory
EIT RawMaterials
Instituto Superior de Engenharia do Porto
#tec4sea 

inSITE Project Newsletter #1

Read about our inSITE Project first year of life!

inSITE [Insitu ore grading system using LIBS in harsh environments] is an upscaling project funded by EIT RawMaterials and lead by INESC Technology and Science - Associate Laboratory.

+ info: https://mailchi.mp/946b1a0b0b7a/insite-project-newsletter-1

Subscribe here.

inSITE Kickoff Meeting

inSITE Kickoff Meeting took place remotely from Porto (Portugal) on the 9th March 2020. The Consortium discussed the strategies and objectives for the first year of project. inSITE is an upscaling project funded by EIT Raw Materials, to develop in-­situ ore grading system using LIBS in harsh environments for realtime analysis.

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Associated Centres

CAP

Centre

Applied Photonics

CRAS

Centre

Robotics and Autonomous Systems

Partners

.                                                                     INESC TEC (Lead Partner)
 Consiglio Nazionale delle Ricerche (CNR)
Geological Survey of Slovenia (GeoZS)
Ghent University
                                                                                                                                                                                                       Laser Analytical Systems & Automation GmbH (LSA)
Rheinisch-Westfaelische Technische Hochschule Aachen (RWTH Aachen)
                                                                                                                                                                                                                   Technische Universiteit Delft (Delft University of Technology)

This up-scaling project is supported by EIT Raw Materials.