The Department of Defense, specifically the Army, is seeking proposals for the development of the Explosive Ordnance Disposal Visual Ordnance Identification Database (EODVOID) through the Small Business Innovation Research (SBIR) program. The objective is to create an automated photogrammetry method that will enhance the speed and efficiency of scanning and generating 3D models of ordnance, which is critical for training AI/ML detection algorithms and improving the safety of EOD personnel in the field. This initiative addresses the pressing need for advanced ordnance identification technology, as current methods rely heavily on visual identification and printed reference materials, which can be inadequate given the vast variety of ordnance types and their potential alterations over time. Proposals for this Direct to Phase II opportunity are due by November 20, 2024, with a funding amount of up to $2,000,000 for a 24-month performance period. Interested parties can find more information and submit proposals through the official SBIR website at https://www.dodsbirsttr.mil/topics-app/.