SPECIAL NOTICE
R -- Sequestered Examiner Latent Fingerprint Quality Assessment and ABIS-Direct Feature Extraction
- Notice Date
- 6/29/2023 5:07:28 AM
- Notice Type
- Special Notice
- NAICS
- 541990
— All Other Professional, Scientific, and Technical Services
- Contracting Office
- DEPT OF COMMERCE NIST GAITHERSBURG MD 20899 USA
- ZIP Code
- 20899
- Solicitation Number
- NB774030-23-02216
- Response Due
- 7/7/2023 9:00:00 AM
- Archive Date
- 07/22/2023
- Point of Contact
- Yolanda McCray
- E-Mail Address
-
yolanda.mccray@nist.gov
(yolanda.mccray@nist.gov)
- Small Business Set-Aside
- SBA Total Small Business Set-Aside (FAR 19.5)
- Description
- Notice Type: Notice of Intent � Sole Source 1.� Description: The National Institute of Standards and Technology (NIST), intends to negotiate, on a sole sources basis, under authority of FAR 13.106-1(b) (1), Schwarz Forensic Enterprises (SFE), 1372 230th� LN, Winterset IA 5027, to procure contractor support services for assessing the quality of and extracting features from a collection of latent fingerprint images support from Certified Latent Print Examiners (CLPE) to extract these features from their sequestered data corpus for use in ELFT. �Schwarz Forensic Enterprises have access to the derived and raw data and have been successfully trusted in keeping it sequestered. No other source is in possession of this data. 2. Background: The National Institute of Standards and Technology (NIST), Information Technology Laboratory/Information Access Division/Image Group has a need for contractual support for assessing the quality of and extracting features from a collection of latent fingerprint images. As part of the Intelligence Advance Research Project Activity (IARPA)�s Nail?to?Nail (N2N) Challenge, NIST acquired thousands of latent and exemplar friction ridge images. In turn, NIST released a portion of this data as an open dataset entitled �NIST Special Database 302.� However, much of the data collected during the N2N Challenge was sequestered at NIST for use in biometric technology evaluations, such as the Evaluation of Latent Friction Ridge Technology (ELFT). Public data is of great importance, but it can be used for machine learning training, which makes its use as a test corpus inadequate. Sequestered data, on the other hand, has not been seen by any technology evaluation participant and thus can be used in evaluations with high confidence. As part of ELFT, NIST studies how examiner-provided fingerprint features impact the accuracy and performance of latent friction ridge search algorithms, such as those that operate as a part of a larger automated biometric identification software (ABIS) system. As such, NIST needs contractual support from Certified Latent Print Examiners (CLPE) to extract these features from their sequestered data corpus for use in ELFT. Interested parties that believe they could satisfy the requirements listed above shall clearly identify their capability to do so in writing on or before 7 July 2023 at 12:00 PM Eastern Daylight Time. �This notice of intent is not a solicitation. Information submitted in response to this notice will be used solely to determine whether competitive procedures could be used for this acquisition.
- Web Link
-
SAM.gov Permalink
(https://sam.gov/opp/92f78cace645415aa5cbaa9a3a6f0b22/view)
- Place of Performance
- Address: Gaithersburg, MD 20899, USA
- Zip Code: 20899
- Country: USA
- Zip Code: 20899
- Record
- SN06731652-F 20230701/230629230048 (samdaily.us)
- Source
-
SAM.gov Link to This Notice
(may not be valid after Archive Date)
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