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Tactical Sensor Open Standards Integration

Award Information
Agency: Department of Defense
Branch: Special Operations Command
Contract: 6SVL4-21-C-0002
Agency Tracking Number: S2-0652
Amount: $747,000.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: SOCOM202-001
Solicitation Number: 20.2
Solicitation Year: 2020
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-03-24
Award End Date (Contract End Date): 2022-04-14
Small Business Information
9668 Madison Boulevard, Suite 103
Madison, AL 35758-9135
United States
DUNS: 623159535
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Michael E. Botts
 (256) 652-0165
Business Contact
 Michael E. Botts
Phone: (256) 652-0165
Research Institution

Botts Innovative Research Inc (Botts-Inc) proposes to develop, install, and demonstrate a prototype system determined to be the most feasible solution during the Phase I feasibility study, with priority placed on the detailed tasks identified in the Phase II Statement of Objectives. This prototype will enable the integration of all Hyper Enabled Operator (HEO) Sensors, Robots and Things into all SOCOM Mission Command System (MCS) Common Operating Pictures (COP) at every echelon, vertically and horizontally, in a way that allows for the maximal integration of Artificial Intelligence/Machine Learning/Computer Vision (AI/ML/CV). This can help HEOs to orient themselves (through situational awareness) in their immediate tactical/operational/strategic setting, such that they can make informed decisions in a time dominant manner, enabling them to take decisive action while overcoming the problem of cognitive overmatch. Essential to this vision is the seamless integration of airborne Full Motion Video (FMV) Sensors with 3D terrain data, and the use of FMV and other Sensors to rapidly and continuously generate and update our 3D characterization of the SOF Battlespace. With the proliferation of FMV and other kinds of sensors, projected atop and continuously improving an increasingly high resolution 3D terrain model, the opportunity for cognitive overmatch is high. To render the additional Sensor data more useful rather than more overwhelming, we propose to prototype a HEO architecture that will rely on more autonomous and more intelligent components and workflows. We see an opportunity to enable HEOs to embrace the benefits of these emergent Sensor technologies, to tighten the OODA Loop, and reduce/eliminate cognitive overmatch. We also see an opportunity to ensure that the MCS COP at every echelon shares in this augmented situational awareness and the benefits automation can bring to mission command. Based on our existing work done with SOFWERX and PEO Strategic Reconnaissance, as well as our SBIR Phase I Feasibility Study, Botts-Inc proposes to extend and implement the open source, open standards based. OpenSensorHub (OSH) ( to demonstrate the “art of the possible” as it relates to the integration of Sensors, Things and Robots in support of HEOs, their units, and their mission command, to provide battlespace awareness at the tactical, operational, and strategic level. This will include the Puma and quadcopter FMV sensor integration that has already been completed, and the demonstration of an OSH based architecture for converting FMV orbits into high resolution three dimension (HR3D) terrain data at the tactical edge. In support of a SOCOM PEO SDA’s Modular Open System Architecture (MOSA) vision, this solution is based on re-usable, open source code and integrations, based on existing open standards, that are already being demonstrated in SOCOM Technical Experiments with already fielded SOF Sensor systems.

* Information listed above is at the time of submission. *

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