Explosive Ordnance Disposal Visual Ordnance Identification Database (EODVOID)
ID: A254-002Type: Phase II
Overview

Topic

Explosive Ordnance Disposal Visual Ordnance Identification Database (EODVOID)

Agency

Agency: DODBranch: ARMY

Program

Type: SBIRPhase: Phase II
Timeline
    Description

    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/.

    Files
    Title
    Posted
    Similar Opportunities
    Image Labeling for Sparse and Rare Targets in Satellite Imagery for Computer Vision Applications -
    DOD
    The Department of Defense (DoD) is seeking proposals for the Small Business Innovation Research (SBIR) program focused on "Image Labeling for Sparse and Rare Targets in Satellite Imagery for Computer Vision Applications." The objective is to refine existing image labeling methodologies to enhance the production of datasets containing rare and diverse objects of interest (OOIs) in overhead satellite imagery, particularly those that are challenging to identify due to factors such as scarcity, lack of distinctiveness, occlusion, and natural obfuscation. This initiative is critical for improving the efficiency and cost-effectiveness of labeling processes, which are essential for developing machine learning algorithms in computer vision applications. Interested parties must possess TS/SCI clearances and conduct work at the same level, with Phase I proposals due by May 21, 2025, and further details available at the provided source link: https://www.sbir.gov/topics/11947.
    Capabilities for the Detection or Classification of Physical Damage using Remote Sensing -
    DOD
    The Department of Defense (DOD) is seeking innovative technologies for the automated detection and classification of physical damage using remote sensing, as outlined in the SBIR opportunity titled "Capabilities for the Detection or Classification of Physical Damage using Remote Sensing." The objective is to develop solutions that can automate damage assessments of infrastructure and buildings over large areas, which is crucial for effective resource allocation in humanitarian assistance and disaster recovery efforts. This initiative emphasizes the need for reliable identification of physical damage, with outputs compatible with GIS software and accompanied by confidence values, while ensuring the protection of sensitive algorithm information. Proposals are due by May 21, 2025, with the opportunity accepting both Phase I and Direct to Phase II submissions. Interested parties can find more details and submit proposals through the DOD SBIR website.
    Tools for Test & Evaluation on Incompletely-Labeled Satellite Imagery Datasets -
    DOD
    The Department of Defense (DOD) is seeking innovative solutions through the Small Business Innovation Research (SBIR) program for the development of tools aimed at evaluating AI/ML models on incompletely-labeled satellite imagery datasets. The primary objective is to create a flexible system that can reliably estimate the performance of AI/ML models in the presence of label noise, which is a common issue in overhead imagery datasets, thereby enhancing confidence in model performance post-deployment. This opportunity is particularly significant for organizations like the National Geospatial-Intelligence Agency (NGA) that require robust evaluation methods for various computer vision tasks, including object detection and automated target recognition. Interested parties should note that the solicitation is currently in the pre-release phase, with the open date set for April 23, 2025, and a close date of May 21, 2025, by which applications must be submitted. For further details, applicants can visit the DOD SBIR website at https://www.dodsbirsttr.mil/topics-app/.
    xTechPacific Open Topic -
    DOD
    The U.S. Army, through the Department of Defense, is seeking innovative solutions under the xTechPacific Open Topic, focusing on three key areas: detection of buried explosives and unexploded ordnance (UXO) in magnetically complex environments, advanced defensive capabilities for Army and commercial watercraft, and electronic warfare (EW) domain awareness and sensing. Proposals should address the challenges posed by volcanic soils in the Indo-Pacific region, enhance the protection of watercraft against modern threats, and provide persistent situational awareness through modular sensor payloads. This opportunity is critical for developing technologies that can operate effectively in diverse and rugged terrains, with a funding amount of up to $2 million for Direct to Phase II submissions, and proposals are due by December 17, 2025. Interested parties can find more information and submit proposals through the official solicitation link at https://www.dodsbirsttr.mil/topics-app/.
    Using AI to Create Multi-Dimensional digital Models from legacy drawings -
    DOD
    The Department of Defense (DoD) is seeking innovative solutions through the Small Business Innovation Research (SBIR) program to develop an AI-driven system for converting 2D engineering drawings into accurate 3D models, aimed at enhancing the sustainment and operational readiness of legacy systems. The project will address critical challenges in maintaining aging equipment by leveraging advanced AI technologies, ultimately supporting the Defense Industrial Base (DIB) and improving mission readiness. This initiative is crucial for revitalizing the DIB, as many legacy platforms rely on outdated schematics that hinder efficient manufacturing and maintenance processes. Interested parties should note that the solicitation is open from April 2, 2025, to May 21, 2025, with further details available at the provided source link.
    AI Enabled Source Selection for Contract Proposal Evaluation -
    DOD
    The Department of Defense, specifically the Army, is seeking innovative software solutions through the SBIR program to enhance the evaluation and source selection processes for contract proposals. The objective is to develop a comprehensive software-as-a-service (SaaS) solution that automates and standardizes these processes, addressing challenges such as evaluator inconsistency and inefficiencies that can lead to procurement delays and protests. This initiative is crucial for accelerating the acquisition process and improving contract outcomes, with a funding opportunity of up to $2 million for Direct to Phase II proposals, which must be submitted by July 9, 2025. Interested parties should refer to the xTechIgnite competition for eligibility details and can find more information at the provided source link.
    Tools for Test & Evaluation on Incompletely-Labeled Satellite Imagery Datasets -
    DOD
    The Department of Defense (DoD) is seeking proposals for the Small Business Innovation Research (SBIR) program focused on developing tools for test and evaluation of AI/ML models using incompletely-labeled satellite imagery datasets. The objective is to create a software package that can rapidly analyze the performance of various AI/ML models on overhead imagery datasets, particularly in the presence of label noise, which can significantly impact evaluation quality. This initiative is crucial for organizations that rely on large-scale AI/ML deployments, as it aims to enhance confidence in model performance without incurring additional costs or delays. Proposals are due by May 21, 2025, and further details can be found at the provided source link: https://www.sbir.gov/topics/11948.
    Shop Floor Human Detection Using Low-Cost Equipment -
    DOD
    The Department of Defense, specifically the United States Air Force, is seeking innovative solutions through the Small Business Innovation Research (SBIR) program for the development of a system titled "Shop Floor Human Detection Using Low-Cost Equipment." The objective is to create a prototype system that utilizes three-dimensional time-of-flight (ToF) sensors and software controls to enable mobile heavy industrial robots to operate safely in environments populated by humans, thereby eliminating the need for traditional static safety measures. This initiative is critical as it addresses the evolving demands for automation in dynamic industrial settings, ensuring safety while enhancing operational efficiency. Interested parties must submit their proposals by May 21, 2025, with the opportunity being open for applications starting April 2, 2025. For more details, visit the official solicitation page at SBIR.gov.
    AI Enabled Portfolio Management -
    DOD
    The Department of Defense, specifically the Army, is seeking innovative solutions through the Small Business Innovation Research (SBIR) program to develop an AI-enabled portfolio management system aimed at modernizing the acquisition process. This initiative addresses critical challenges such as inconsistent processes for IT acquisition requirements, limited visibility into the status of approved requirements, and inadequate scanning of existing contracts and assets. The goal is to create a centralized platform that integrates tools and best practices to streamline the Army's acquisition requirements intake and portfolio management, ultimately reducing redundancy and optimizing resource allocation. Interested small businesses can submit Direct to Phase II proposals for up to $2 million, with a deadline for applications set for July 9, 2025. For more details, visit the official solicitation page at DOD SBIR.
    Ruggedized Sensors to Increase Driving Visibility and Vehicle Safety -
    DOD
    The Department of Defense, specifically the Army, is seeking small businesses to develop ruggedized sensor technology aimed at enhancing driving visibility and vehicle safety for ground combat vehicles. The objective is to create systems that improve driver awareness and enable advanced driver-assistance systems (ADAS) to operate effectively in degraded visual environments, such as nighttime or low-visibility conditions. This initiative is crucial for enhancing vehicle safety and maneuverability, with applications extending to commercial automotive industries. Interested firms must participate in the xTechIgnite prize competition to qualify for submitting a Small Business Innovation Research (SBIR) proposal, with a funding amount of up to $2 million for an 18-month Phase II project. Key deadlines include the open date on June 12, 2025, and the application due date on July 9, 2025. For more information, visit the official solicitation page at dodsbirsttr.mil.