High Speed Differentiation Of Ore Mining Samples With A Novel Low Cost Portable Multispectral Image Sensor

• doi:
• title: High speed differentiation of ore mining samples with a novel, low cost, portable multispectral image sensor
• publisher: IEEE
• isbn: 978-1-6654-6666-0
• issn: 2160-8989
• rank: 2610
• access_type: LOCKED
• content_type: Conferences
• abstract: We demonstrate a novel multispectral filter comprising arrayed silicon nanowires in the optical near field of a commercial CMOS image sensor. The resultant camera is used for quick and high precision distinction of ore mining samples.
• article_number: 9890673
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9890673
• html_url: https://ieeexplore.ieee.org/document/9890673/
• abstract_url: https://ieeexplore.ieee.org/document/9890673/
• publication_title: 2022 Conference on Lasers and Electro-Optics (CLEO)
• conference_location: San Jose, CA, USA
• conference_dates: 15-20 May 2022
• publication_number: 9889780
• is_number: 9889807
• publication_year: 2022
• publication_date: 15-20 May 2022
• start_page: 1
• end_page: 2
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 62
• insert_date: 20220923
• index_terms:
  • ieee_terms:
    • Optical filters
    • Costs
    • Sensitivity
    • Ores
    • Optical imaging
    • Silicon
    • Nanowires
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Multispectral Sensors
    • Ore Mining
    • Mining Of Ores
    • Silicon Nanowires
    • Si Nanowires
    • Convolutional Neural Network
    • Support Vector Machine
    • Sample Types
    • Finite-difference Time-domain
    • FDTD
    • Finite-difference Time-domain Method
    • Finite Difference Time Domain
    • Multispectral Camera
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-6654-6666-0, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-957171-05-0, isbnType: New-2005
• authors:
  • Author Name: PRH Stark
    Affiliation: John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
    Author URL: https://ieeexplore.ieee.org/author/37089531201
    ID: 37089531201
    Order: 1
    Author Affiliations:
    • John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
  • Author Name: Amit Solanki
    Affiliation: John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
    Author URL: https://ieeexplore.ieee.org/author/37085533761
    ID: 37085533761
    Order: 2
    Author Affiliations:
    • John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
  • Author Name: Victor Murray
    Affiliation: John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
    Author URL: https://ieeexplore.ieee.org/author/37408906200
    ID: 37408906200
    Order: 3
    Author Affiliations:
    • John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
    • Dept. of Electrical Engineering, Universidad de Ingenieria y Tecnologia, Lima, Peru
    • Dept. of Electrical and Computer Engineering, University of New Mexico, New Mexico, USA
  • Author Name: Augusto Barton
    Affiliation: Hochschild Mining, Lima, Peru
    Author URL: https://ieeexplore.ieee.org/author/37089531636
    ID: 37089531636
    Order: 4
    Author Affiliations:
    • Hochschild Mining, Lima, Peru
  • Author Name: Fawwaz Habbal
    Affiliation: John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA
    Author URL: https://ieeexplore.ieee.org/author/37323175400
    ID: 37323175400
    Order: 5
    Author Affiliations:
    • John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA

Image Sensor

• sensor_type: CMOS
• resolution: not specified
• dynamic_range: not specified
• pixel_size: not specified
• dark_current: not specified

Optical Data

• focal_length: not specified
• aperture: not specified
• field_of_view: not specified
• distortion: not specified

Performance Metrics

Applications & Benefits

• cell_imaging: not specified
• benefits: inexpensive, easy to use, low angular sensitivity, high speed, and high precision in distinguishing ore mining samples.

Supporting Organizations

• supported_by: not specified

Manuscript Details

• publication_date: 15-20 May 2022

Relevancy Score

• score: 9
• missing_fields:
  • resolution
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise
  • cell_imaging
  • benefits
  • supported_by

Processed JSON Filename

request_3d5b3186-ef36-46ad-b328-8a061ae69b67-high_speed_differentiation_of_ore_mining_samples_with_a_novel_low_cost_portable_multispectral_image_sensor.json