Search results for: identification using machine

TECHNOLOGY LICENSING OPPORTUNITYRadiation Spectroscopy and Isotope Identification Using Machine LearningA new radiation spectroscopy technique using machine learning to achieve highly accurate measurements in real time with reduced or eliminated human factor.Opportunity:   Idaho National Laboratory (INL), managed and operated by Battelle Energy Alliance, LLC (BEA), is offering the opportunity to enter into a license and/or collaborative research agreement

ELECTRONIC FINGERPRINTING FOR OFFICE OF HUMAN RESOURCE MANAGEMENT Solicitation ID/Procurement Identifier: 70B06C20Q00000328 Ultimate Completion Date: Mon Sep 29 17:00:00 GMT 2025

Terms:#1 Mar 8, 2022 Jan 7, 2024 #2 Jan 8, 2024 Jan 7, 2025 Project: Harris CountyStatus: ActiveVendor: IDEMIA Identity & Security USA LLCExtendable: YesDescription:Automated Fingerprint Identification SystemFunding Source:Harris County FundsAward Type:Single VendorPurchasing Contact:Jose CamachoPurchasing Contact E-mail:jose.camacho@pur.hctx.netFilesShow/Hide Download grid export Drag

The Department of Public Safety (DPS) publishes this Request for Information (RFI) seeking current information related to Biometrics Identification Solutions for the law enforcement, criminal justice, and public safety fields. DPS may use the collected data to determine functionality offerings and build requirements around the needed functions.

The Department of Public Safety (DPS) publishes this Request for Information (RFI) seeking current information related to Biometrics Identification Solutions for the law enforcement, criminal justice, and public safety fields. DPS may use the collected data to determine functionality offerings and build requirements around the needed functions.

MARKING AND IDENTIFICATION PER MIL-STD-130 IN LIEU OF LAC227. 4. MACHINE USING BEST AIRCRAFT INDUSTRIES PRACTICES IN LIEU OF CONTINUATION SHEET REFERENCE NO. OF DOCUMENT BEING CONTINUED: CONTINUED ON NEXT PAGE PAGE 7 OF 24 PAGES SPE4A7-23-T-1734 SECTION B LAC 701. 5. USE MATERIAL PER SAE AMS-QQ-A-250/12 IN LIEU OF GELAC 5-603. 6. FINISH PER THE FOLLOWING IN LIEU OF G-14: ,,A.

through an interface that enables instant identification of relative risk; pushed alerts relating to significant threat and risk incidents as well as trend and pattern identification; the use of a data driven methodology using machine learning techniques to ensure accuracy, consistency and objectivity.All responsible sources may submit a bid, proposal, or quotation which shall be considered by the agency.