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SHR3DR - Sub-seafloor High Resolution 3D Reconstruction

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-23-C-0174
Agency Tracking Number: N224-129-0066
Amount: $246,436.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N224-129
Solicitation Number: 22.4
Timeline
Solicitation Year: 2022
Award Year: 2023
Award Start Date (Proposal Award Date): 2022-12-28
Award End Date (Contract End Date): 2024-02-08
Small Business Information
479 West St Suite 48
Amherst, MA 01002-1111
United States
DUNS: 078808915
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Michael White
 (413) 992-6075
 mike@ftllabscorp.com
Business Contact
 Kristie Stauch-White
Phone: (413) 992-6075
Email: kristie@ftllabscorp.com
Research Institution
N/A
Abstract

FTL’s SHR3DR (Sub-seafloor High Resolution 3D Reconstruction) is a specialized geophone-based sensor and processing system that simplifies the evaluation of salt-saturated sediments and other structural configurations typical of waterfront facilities, achieving 80 feet of penetration below the mudline in water depths to 90 feet. It applies AI/ML analysis of seismograph data, to assist in determining morphology, location, and dimension of subterranean voids and structures for Port Damage Repair (PDR) operations, including Port/Harbor/Shipyard assessment, performed by several Navy organizations (NECC, UCT, NMCB). SHR3DR enables the inspection of waterfront facilities ( including piers, wharfs, relieving-platforms, other shipyard structures) for voids (structural and soil), structures (piles, pile-caps, beams, deck), and stability (load capacity, limits). Working closely with established manufacturers of seismic surveying equipment, SHR3DR will be a Government-off-the-shelf (GOTS) and commercial product that enables nondestructive investigation (classification, quantification, location, dimension) of sub-seafloor structures, voids, and construction patterns. It leverages FTL’s 2D and 3D computer vision and machine learning pipeline developed for automated inspection of Navy piers. It combines cutting-edge seismic imaging hardware with mature geotechnical investigation approaches to provide unique 3D awareness around and below shoreline facilities.

* Information listed above is at the time of submission. *

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