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Defense Computer Vision
We Design Aided Target Detection and Recognition (ATDR) Algorithms for Enhanced Warfighter Vision

Vision evolved, skills amplified, battles won

Can purpose-built AI algorithms enhance combat operators' targeting and decision-making capabilities, mitigating the impact of inexperienced warfighters in combat situations?

Introduction

In the constantly evolving landscape of modern warfare, the dependence on optics, including EO/IR weapon sights, and thermals is vital for combat operators on the ground. Despite their importance, the current state of technology presents significant challenges for warfighters and defense OEMs, impeding the seamless integration of advanced computer vision systems.

 

While advances in computer vision and deep learning offer new opportunities to enhance human perception and decision-making on the battlefield, effectively translating these technological capabilities into tactical advantages remains an ongoing challenge. Combat operators and engineering teams alike encounter difficulties in fully leveraging computer vision to its potential. This dual challenge underscores the need for innovative solutions that bridge the gap between the capabilities of modern optics and the application of advanced computer vision in military operations.

Industry Problem

For combat operators there is a significant experiential skills gap in tactical teams, where novice warfighters struggle with identifying targets through non-smart optics, a skill that veterans acquire through extensive training or combat. This gap, exacerbated by the chaos of combat, highlights a disconnect between technology designs, which often misses addressing the actual pain points found on the battlefield. For combat operators the pain points are evident, heavily relying on training and experience to interpret visuals from existing optics contributing to an increased cognitive strain.

Deca Defense Solution

By gaining insight into the challenges warfighters encounter in identifying targets, we tailor Aided Target Detection and Recognition (ATDR) algorithms, specifically to address their key pain points. The development of purpose-built datasets empowers deep learning models to surpass human experience. Efficient tracking techniques utilize machine vision to follow targets seamlessly. Our team of combat veteran AI engineers plays a crucial role in identifying critical challenges for algorithm development. Guided by a human-centered design philosophy, our approach prioritizes mitigating usability issues encountered on the field. The resulting solutions seamlessly integrate advanced optics and computer vision, enhancing perception and decision-making without imposing unnecessary cognitive burden. This approach delivers tactical advantages for military operations.

Advanced Vision Algorithms

Amplifying the Combat Operators Sight: Computer Vision for Rapid Threat Detection and Situational Awareness

Our team develops advanced computer vision algorithms to augment combat operators with enhanced visual capabilities and situational awareness. We implement sophisticated algorithms like object detection and classification to enable combat operators to rapidly identify threats and critical objects on the battlefield. Our real-time segmentation and tracking algorithms help isolate and monitor high-value targets amidst complex environments. Through innovative simultaneous localization and mapping approaches, we empower warfighters to understand their precise positioning as they navigate through unfamiliar terrain or buildings. By replicating core aspects of human visual perception in algorithms, we create augmented reality systems that feed combat personnel real-time visual intelligence, allowing them to make rapid decisions and execute missions with enhanced efficiency and safety. Just as combat operators use their eyes and brain to visually assess and comprehend the battlefield, our machine vision integrations give warriors an augmented view of their surroundings and events unfolding in real-time. This amplified vision system enables warfighters to orient, maneuver and operate optimally in the fog of war.

Tracking:
  • Advanced algorithms monitor moving targets continuously.

  • Predictive tracking anticipates ground target movements.

  • Infrared sensors enhance dynamic tracking capabilities.

  • Real-time tracking ensures accurate ground-level surveillance.

  • Adaptive tracking mechanisms boost situational awareness.

Object Detection
  • Real-time algorithms identify objects precisely.

  • Purpose built datasets for ground operation applications

  • Image processing isolates objects in complexity.

  • Adaptive segmentation ensures precise object delineation.

  • Advanced sensors detect ground-level objects swiftly.

Visual Odometry (VIO):
  • Orientation and pose estimation

  • Locates warfighter position accurately.

  • Navigates when signals are jammed.

  • Updates maps with no external aids.

  • UGV Inertial navigation indoor.

Object Segmentation
  • Image processing isolates objects clearly.

  • Adaptive segmentation delineates objects precisely.

  • Real-time algorithms achieve dynamic object segmentation.

  • Computer vision extracts object boundaries efficiently.

  • Cutting-edge algorithms ensure precise object segmentation.

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AI Debriefing

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Company

Melbourne FL, 32934

Markets Served

Department of Defense

Defense Original Equipment Manufacturers

Information

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