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DeapSeaVision-AI

Award Information
Agency: Department of Commerce
Branch: National Oceanic and Atmospheric Administration
Contract: 1305M219CNRMW0032
Agency Tracking Number: 18-2-119
Amount: $399,999.61
Phase: Phase II
Program: SBIR
Solicitation Topic Code: 8.3.2
Solicitation Number: NOAA-2018-2
Timeline
Solicitation Year: 2019
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-06-27
Award End Date (Contract End Date): 2022-06-23
Small Business Information
28696 Tree Farm Place, PIERRE, SD, 57501
DUNS: 080686099
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Peter Vonk
 Principal Research Engineer
 (605) 593-5500
 vonk@synthetik-technologies.com
Business Contact
 Timothy Brewer
Title: Principal
Phone: (818) 296-8611
Email: brewer@synthetik-technologies.com
Research Institution
N/A
Abstract
Marine life entanglement is one of the critical permitting issues that is currently constraining the growth of domestic offshore aquaculture. Synthetik Applied Technologies is proposing to develop a low-cost entanglement detection system for offshore aquaculture operators. The system will use a combination of near real-time satellite imagery, intelligent on-site cameras (both above and below the water line), and acoustic sensors. Our technology – called DeepSeaVision-AI – will be offered as a low-cost subscription service to operators and will reduce investment and operating risks associated with offshore aquaculture. Our project team has been developing Artificial Intelligence and Machine Learning models for DARPA and the Department of Defense for nearly a decade and this experience and technology has been leveraged during the conduct of the Phase I work for NOAA, where we demonstrated system feasibility. Moving to Phase II, we are excited about the potential to develop a ‘NOAA-approved’ and permit-ready monitoring system, and we plan to leverage the permitted offshore aquaculture sites operated by our teaming partners at the University of New Hampshire (fin-fish nets), and Salem State University (mussel long lines) as initial deployment examples.

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

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