Loren Data's SAM Daily™

SAMDAILY.US - ISSUE OF AUGUST 25, 2021 SAM #7207
SPECIAL NOTICE

D -- Automated Visual Processing for Gulf Fisheries Applications

Notice Date

8/23/2021 4:52:35 PM
 

Notice Type

Special Notice
 

NAICS

518210 — Data Processing, Hosting, and Related Services
 

Contracting Office

DEPT OF COMMERCE NOAA SEATTLE WA 98115 USA
 

ZIP Code

98115
 

Solicitation Number

NF-FN7600-21-02077
 

Response Due

8/30/2021 2:00:00 PM
 

Archive Date

09/14/2021
 

Point of Contact

Kayla Johnson, CARINA TOPASNA, Phone: 2065264395, Fax: 2065266025
 

E-Mail Address

kayla.johnson@noaa.gov, Carina.topasna@noaa.gov
(kayla.johnson@noaa.gov, Carina.topasna@noaa.gov)
 

Description

Synopsis: Notice of Intent to Award a Sole Source Contract Announcement Number: NF-FN7600-21-02077 Automated Visual Processing for Gulf Fisheries Applications The United States Department of Commerce (DOC), National Oceanic & Atmospheric Administration (NOAA), Acquisition and Grants Office (AGO), Western Acquisition Division (WAD) intends to award a Firm-Fixed Price (FFP) Commercial Services contract in accordance with FAR Part 12, on a Sole Source basis in accordance with 41 U.S.C. 1901, using Simplified Acquisition Procedures (SAP) up to $7.5M as authorized by FAR 13.500(a) and implemented by FAR 13.501(a). The North American Industry Classification System (NAICS) code for this proposed contract action is 518210 with a business size standard of $35,000,000.00. Only one source is determined to be reasonably available to perform this acquisition. The University of Washington (UW) is the only known source that can provide the development of image analysis algorithms through the use of machine learning (ML) for the purpose of assessing fish populations and studying fish behavior. While automated image processing methods are well established for other types of applications, model/algorithm packages capable of automated target detection and identification of fish are not currently available from other sources.� Particularly, NOAA�s National Marine Fisheries Service (NMFS) and the Alaska Fisheries Science Center (AFSC) EM Innovation Project (eMIP), in collaboration with the UW, has invested significantly to develop algorithms to automate catch estimation through analyzing image/video from a number of fisheries and processing plants. The primary objective of this work is to build on current ML algorithms to automatically detect and identify individual fish images or from video data streams using standard and machine vision cameras. The source code currently being developed by UW is not considered to be �open-source.� Therefore, it is not practicable to procure these services on a competitive basis at this time. Deliverables: The model development shall include the source code and documentation for its use based on past algorithm developments: 1. Identification- species classification Improve on and implement existing species identification algorithm originally built at AFSC using OpenCV and Open Source deep learning algorithms provide species class membership including measures of confidence for classification and potentially using a hierarchical approach 2. Target detection and image capture Improve on and implement existing image acquisition algorithm originally built at AFSC using OpenCV and Open Source deep learning algorithms Determine optimal capture settings to detect and capture images of individual fish passing by the cameras. This shall be fishery specific. 3. Target processing - sizing improve on existing model/algorithm for automated stereo-image or single camera based size determination, including camera calibration This notice of intent is not a formal solicitation or request for competitive proposals. No solicitation document is available and telephone requests will not be accepted. No award will be made on the basis of quotations or offers received in response to this notice. Interested parties may submit their written interest and capabilities no later than Monday, August 30, 2021 5:00 PM Pacific Standard Time. E-mail statements will be accepted but senders are responsible for ensuring the complete transmission and timely receipt. All inquiries shall be sent via e-mail to: kayla.johnson@noaa.gov. Potential contractors responding to this notice must have a current and active registration in the System for Award Management (SAM). The Government intends to award a contract with a one year base period and four one-year option periods for automated visual processing for Gulf Fisheries applications to the University of Washington (UW). The intent of this synopsis is for informational purposes only. Information received will be considered solely for the purpose of determining whether to conduct a competitive procurement for future requirements. A determination by the Government not to compete this action is based on this notice and solely within the discretion of the Government.
 

Web Link

SAM.gov Permalink
(https://beta.sam.gov/opp/470ebae431164b8196476b0990cbe382/view)
 

Place of Performance

Address: Seattle, WA 98195, USA

Zip Code: 98195

Country: USA
 

Record

SN06106572-F 20210825/210823230118 (samdaily.us)
 

Source

SAM.gov Link to This Notice
(may not be valid after Archive Date)

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