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Measuring coastal sediment grain size instantly using Instagrain, a hand-held camera with on-device machine learning

Awardee

Sediment

500 Woodlawn Ave
Greensboro, NC, 27401
USA

Award Year: 2024

UEI: NJJPKBT9JNK7

HUBZone Owned: No

Woman Owned: No

Socially and Economically Disadvantaged: No

Congressional District: N/A

Tagged as:

SBIR

Phase I

Seal of the Agency: DOC

Awarding Agency

DOC

Branch: NOAA

Total Award Amount: $174,693

Contract Number: NA24OARX021G0004

Agency Tracking Number: 3217221

Solicitation Topic Code: 9.2

Solicitation Number: NOAA-OAR-TPO-2024-2008184

Abstract

Much of the US coastal zone is covered in a veneer of mobile sediment, and the size of this sediment determines under what conditions it moves. Accurate measurement of coastal sediment grain size is critical for work on coastal erosion, shoreline change, total water level forecasting, storm impact predictions, planning, designing nature-based coastal protections, and other coastal resilience projects. Measurement of grain size is time consuming, costly, and requires a laboratory. Inaccurate measurements result in degraded performance of models, plans, predictions, and forecasts. To address slow measurement speed and high cost-per-sample, we have built a new handheld camera-based system that uses on-device machine learning, does not require calibration, and provides accurate field measurements of grain size within 1 second, ~1,000,000x faster than lab quotes of 2 weeks. We propose three research objectives to dramatically improve the performance of our technology for coastal sites of the US, regardless of sediment size, distribution, color, and composition: First, field collections to grow our training dataset; Second, machine learning model development to increase performance and reduce training data requirements; Third, targeted work to determine presence and percentage of specific minerals used for some coastal projects.

Award Schedule

  1. 2024
    Solicitation Year

  2. 2024
    Award Year

  3. August 1, 2024
    Award Start Date

  4. January 31, 2025
    Award End Date

Principal Investigator

Name: Evan Goldstein
Phone: 2158583645
Email: evan@sediment.science

Business Contact

Name: Evan Goldstein
Phone: 2158583645
Email: evan@sediment.science

Research Institution

Name: N/A