Can Lab-Focused AI Engineers Design What Frontline Combat Operators Need?
Introduction
Combat operators demand technology that is not only reliable but also lightweight and easy to use. Despite this need, our experiences from years of deployments reveal that many existing systems prove either too complex or simply unreliable in combat conditions.
Industry Problem
One key issue contributing to this predicament is the involvement of non-combat engineers in crafting advanced AI for real-world applications. This frequently results in solutions that fall short of meeting the crucial requirements of the warfighters they are meant to assist. Consequently, development teams find themselves caught continuously cycling through TRL 1-4, primarily due to a lack of comprehension regarding the warfighters' specific needs. This cycle necessitates ongoing reengineering to address design shortcomings, causing significant deployment delays.
Complicating matters further is the scarcity of true cross-disciplinary expertise spanning AI, edge computing, and military operations. This scarcity is slowing down progress and, at its worst, leading to subpar designs. As a consequence, development and deployment of technology continue to be delayed.
Deca Defense Solution
Our approach begins with the recruitment of engineers with extensive combat experience. Our team comprises true cross-disciplinary experts spanning AI, edge computing, and military operations that know how to design for a mission set.
As combat veterans ourselves, we intimately understand the frustration of executing a mission with products designed based on arbitrary specifications from someone who’s never been outside their cubicle. We go beyond the 9-5 job mentality, focusing our design process on missions, environments, SWaP, usability, and more importantly, reliability.
We design for our battle buddies; we field battle-ready algorithms that save lives.
Defense Edge AI Capabilities
Optimizing Defense Edge Devices with AI and FPGA: Adept Expertise in Xilinx, Altera, and NVIDIA SOMs"
In the dynamic landscape of artificial intelligence, the ability to implement cutting-edge AI algorithms on specialized hardware is a distinct skill set. We have extensive experience in embedded hardware, ranging from FPGAs from industry leaders like Xilinx (AMD) and Altera (Intel), small embedded microprocessor designs using both RTOS and bare-metal implementations, and the latest offerings from NVIDIA System on Modules (SOMs) to bring the most cutting edge technology to the defense sector.
We Develop Lightweight Algorithms For Deployment On Edge AI Devices
Aided Target Detection and Recognition (ATDR)
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Detect Targets faster at the edge with accelerated AI Aided Target Detection systems on warfighter weapon systems.
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Accelerate target acquisition with AI-enabled optics and sights
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Advanced image recognition techniques for enhanced target identification
Autonomous Systems
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Modular AI payloads.
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Realtime and fast vision algorithms for tracking and object detection
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Autonomous navigation and swarming behaviors
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Object identification and classification for automated targeting
Situational Awareness and Cognitive Decision Support
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Highlight potential targets to help lighten the cognitive burden of scanning a sector.
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Realtime Algorithms for target detection and engagement
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AI early warning to combat operators in the field.
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Provide recommendations for optimal engagement strategies
Tactical Communications
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Software defined AI enhanced Radios
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AI-driven enhancements into established ad hoc battlefield networks.
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Monitors combat operator health in real-time.
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Tracks location and relays vital signs.
Markets Served
Department of Defense
Defense Original Equipment Manufacturers