- Country: USA
- Summary: Computer Vision Inference Engine & Model Training for UMS
- UST Ref No: 127075285
- Deadline: 13 Oct 2025
- Financier: Self Financed
- Purchaser Ownership: Government
- Tender Value: Refer Document
- Notice Type: Tender
- Document Ref. No.: CVIE_MT_UMS
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- Description:
- Description
Computer Vision Inference Engine & Model Training for UMS
Submit NLT 13 October 2025 11:59 PM ET ITAR Restricted
PurposeSOFWERX, in collaboration with the USSOCOM PEO-SOF Digital Applications (SDA) Unmanned Systems Autonomy and Interoperability (UxSAI) Program, will host an Assessment Event (AE) to identify technology providers capable of delivering cutting-edge computer vision capabilities for detection and classification for all USSOCOM unmanned systems. This event aims to evaluate whitepaper responses and down-select innovative solutions for a computer vision inference engine and model training solution that can autonomously detect, classify, and adapt to new targets and environments ultimately enhancing the operational effectiveness of UxS in resource-constrained and communication-denied environments to align with the goals and objectives of the UxSAI Program.
Background/SynopsisComputer vision rarely performs as intended and results in missed detections or improperly classified objects. Challenges exist with obtaining training data, utilizing the models on constrained resources, and deploying models over the air. UxSAI requests computer vision developers to improve our artificial intelligence and machine learning capabilities and develop highly effective computer vision inference engines and pretrained models as part of an Enterprise machine learning operations (MLOPS) pipeline. Providers selected for participation will receive additional information and funding to prepare for the AE upon selection. The UxSAI Program intends to evaluate solutions through their Enterprise MLOPS pipeline as part of this event.
ObjectiveThe UxSAI Program seeks a computer vision inference engine and model retraining solution that:
Demonstrates robust object detection and classification capabilities.
Optimizes Size, Weight, Power, and Cost (SWaP-C) for deployment on a variety of UxS platforms.
Enables training and adaptation to new obje... - Documents:
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CLICK HERE TO LOGINComputer Vision Inference Engine & Model Training for UMS - USA Tender
The DEPT OF DEFENSE, a Government sector organization in USA, has announced a new tender for Computer Vision Inference Engine & Model Training for UMS. This tender is published on USARFP under UST Ref No: 127075285 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2025-10-13.
The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.
