NEXTGEN FEDERAL SYSTEMS LLC — Department of Defense SBIR Phase II: A18-022
NEXTGEN FEDERAL SYSTEMS LLC — SBIR Phase II award from Department of Defense.
Phase II SBIR prototype / development signal
- Phase II is where Department of Defense funds deeper R&D after feasibility. Incumbents with Phase II history are serious competitors on adjacent topics.
- Use this award as past-performance context and to map customer organizations for STRATFI/TACFI-style transition planning.
- Obligated amount $737,630 is consistent with substantial Phase II-scale effort; compare to related awards from the same agency.
- Topic code A18-022 links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.
- Amount
- $737,630
- Agency
- Department of Defense · Army
- Program / Phase
- SBIR · Phase II
- Topic
- A18-022
- Solicitation
- 18.1
- NAICS
- —
- Place of performance
- WV
- Period
- 2019-06-21 → 2021-04-30
Description
Intelligent Multirotor Autonomous Ground Relocatable Sensor (IMAGRS) is an innovative and highly capable small Unmanned Aircraft System (sUAS) that enables unattended multi-spectral imaging and processing. IMAGRS integrates existing technologies into a micro, transforming multirotor platform which autonomously acts as a relocatable imaging sensor. Critical enabling technologies, such as dual-use components and composite materials, enable the platform to meet demanding flight characteristics and mission constraints. Its transformable design enables the system to be pre-packaged and deployed from mounted cylindrical containers. Attached to the platform is a payload consisting of multi-spectral imaging, onboard compute, communications and advanced autopilot. The autopilot integrates with a collection of flight sensors that enable advanced autonomous behaviors including takeoff, navigation, precision landing, obstacle avoidance, and automatic recharging. The advanced autopilot can also trigger and command the imaging sensor and gimbal to view specific regions of interest. Advanced computer vision and machine learning algorithms enable object recognition and tracking. The small, transformable platform, imaging sensor payload, and advanced autopilot can work together to autonomously achieve modern, demanding Intelligence Surveillance, and Reconnaissance (ISR) mission objectives.