SBIR/STTR Research Award

Streaming Platform for Object Tracking Analytics

Award identifier ce58d3632e29913605ab0d7b85fe1e4ecae99e4ca5c460275f241aaa9861fa7eAwarding agency Department of Defense · Missile Defense Agency

Award amount

$1,496,680

Program and phase

SBIR · Phase II

Award year

2023

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Award details

Awarding agency
Department of Defense
Branch
Missile Defense Agency
Recipient company
A T A, LLC
Proposal award date
2023-05-03
Contract end date
2025-01-02
UEI
H48GKKSYN1T7
Solicitation number
21.2
Topic code
MDA21-006

Research abstract

ATA’s proposed innovation is SPOT-lyt, the Streaming Platform for Object Tracking Analytics, a system for real-time and forensic tracking and analysis of moving objects with cutting-edge capabilities in data fusion, simulation, machine learning, and streaming analytics platform operations. For Phase II of this SBIR effort, we propose to use the prototype developed during Phase I as the foundation for this innovation, addressing current MDA needs in object monitoring, surveillance, and intelligence while also incrementally progressing the Department of Defense's experiments in applying machine learning to multi-sensor integration, digital engineering, model and simulation, and big data. During Phase I, ATA tested the feasibility of a platform for developing, deploying, monitoring, and maintaining ML-integrated streaming data pipelines for use in real-time object tracking and analysis. The prototype demonstrated the feasibility of a system that simplifies the historically time-consuming, manual, and code-heavy tasks associated with operational use of ML and streaming data management with innovations that 1) support the ingestion of multiple streaming data sources into the platform using a flexible model to quickly onboard additional new data sources, 2) utilize low-code configuration of ML-integrated streaming data pipelines for simpler streaming data pipeline development and deployment, 3) leverage automation and other operations-related services to support the development, testing, and deployment of ML models, 4) monitor deployed ML models to account for degrading model performance, data drift, and unexpected data, and 5) generate synthetic data to simulate detection events and publish the event data into the system for platform testing and training. The overall goal of Phase II is to mature the Phase I prototype (Technology Readiness Level, TRL 4) into a robust, detailed SPOT-lyt prototype of TRL 6 (Full System Prototype in a Relevant Environment). By the end of the phase, SPOT-lyt will have the additional capabilities required of an operational object tracking system and the platform portability, security, and reliability needed for adoption into production environments. Approved for Public Release | 22-MDA-11340 (16 Dec 22)

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Agency intelligence

Department of Defense

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