dockets: USCG-2025-0150

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id agency_id title docket_type last_modified object_id rin dkabstract category subtype keywords program short_title effective_date organization attrs_raw attr_source
USCG-2025-0150 USCG Cooperative Research and Development Agreement: Evaluation of EO/IR Auto-Classification Technology To Improve USCG Operational Effectiveness Nonrulemaking 2025-07-23T18:04:13Z 0b000064868ef0f0   The U.S. Coast Guard (USCG) is announcing its intent to enter into a Cooperative Research and Development Agreement (CRADA) with Teledyne FLIR to evaluate their Convolutional Neural Network (CNN) technology and address its ability to train models for needs specific to USCG operations. The Research and Development Center desires to identify the capabilities, benefits, risks, and limitations of Electro-Optical/Infrared (EO/IR) systems for integration with other shipboard systems. This will include testing of the technology and data collection in dynamic environmental conditions. In addition to increasing target classification efficacy, this work includes developing detection and classification information sharing standards with external command and control (C2) systems.         Headquarters     {"displayProperties": [{"name": "abstract", "label": "Docket Subject", "tooltip": "Describes an agency's specific regulatory action; equivalents: Abstract, Description, General Info, Related To, Summary."}, {"name": "shortTitle", "label": "Action Office", "tooltip": "Refers to a specific office within an agency that issues the docket (regulatory action)."}], "keywords": null, "modifyDate": "2025-07-23T18:04:13Z", "dkAbstract": "The U.S. Coast Guard (USCG) is announcing its intent to enter into a Cooperative Research and Development Agreement (CRADA) with Teledyne FLIR to evaluate their Convolutional Neural Network (CNN) technology and address its ability to train models for needs specific to USCG operations. The Research and Development Center desires to identify the capabilities, benefits, risks, and limitations of Electro-Optical/Infrared (EO/IR) systems for integration with other shipboard systems. This will include testing of the technology and data collection in dynamic environmental conditions. In addition to increasing target classification efficacy, this work includes developing detection and classification information sharing standards with external command and control (C2) systems.", "agencyId": "USCG", "program": null, "shortTitle": "Headquarters", "subType2": null, "title": "Cooperative Research and Development Agreement: Evaluation of EO/IR Auto-Classification Technology To Improve USCG Operational Effectiveness", "generic": null, "field1": null, "docketType": "Nonrulemaking", "petitionNbr": null, "rin": null, "organization": null, "legacyId": null, "subType": null, "category": null, "field2": null, "effectiveDate": null, "objectId": "0b000064868ef0f0"} single_get

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