McQ Inc. — Department of Defense SBIR Phase I: AF193-017
McQ Inc. — SBIR Phase I award from Department of Defense.
Phase I SBIR feasibility signal
- Phase I awards fund proof-of-concept work. For capture teams, they mark early interest from Department of Defense in a technical approach.
- Watch for Phase II follow-ons from the same firm/topic family — that conversion path is where budgets and transition pressure rise.
- Obligated amount $149,978. Cross-check similar awards in the same agency and technology tags for going-rate context.
- Topic code AF193-017 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $149,978
- Agency
- Department of Defense · Air Force
- Program / Phase
- SBIR · Phase I
- Topic
- AF193-017
- Solicitation
- 19.3
- NAICS
- —
- Place of performance
- VA
- Period
- 2020-06-15 → 2021-06-15
Description
The purpose of this SBIR is to develop a comprehensive wide area threat detection capability for military installations, that is autonomous, and utilizes a dynamic set of multi modal surveillance products, to provide autonomous mission planning and threat detection information. This SBIR will leverage advanced deep learning algorithms to provide a rich set of threat detection capabilities, based on state of the art COTS sensors, which can be used for practical and cost effective deployments to achieve these goals. Phase I will result in a sophisticated yet easy to use autonomous threat detection deep learning based software tool, which will help users (e.g. security and other base personnel) select a threat vector and site specific details, and automatically provide the user with specific guidelines of equipment placement and usage to achieve the stated mission. McQ is uniquely qualified to develop this autonomous threat detection system (ATDS) given its rich set of state of the art unattended ground sensor (UGS) products and related deep learning experience, and excellent track record of successfully developing fielded prototype systems within in the constraints of an SBIR program.