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Development of Circular Review System for Armored Vehicles
  1. case
  2. Development of Circular Review System for Armored Vehicles

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Development of Circular Review System for Armored Vehicles

geniusee.com
Government
Security
Manufacturing
Aerospace

Current Challenges in Armored Vehicle Operations

Armored vehicle crews face limited situational awareness due to physical visibility constraints and lack of real-time data integration, compromising operational safety and effectiveness in combat environments.

About the Client

Defense technology company specializing in advanced situational awareness systems for military and armored vehicles.

Project Goals

  • Develop a 360° omnidirectional view system for armored vehicles
  • Enable real-time optical and thermal imaging at 300m range
  • Integrate interactive data overlay on helmet-mounted displays
  • Implement automated target tracking and identification
  • Support remote control integration with UAVs and other systems

Core System Functionalities

  • 360° optical and thermal imaging with 300m range
  • Real-time video streaming with 1500 V isolation
  • Enemy/ally identification and position highlighting
  • Cross-platform driver compatibility (Windows, OSX, Linux)
  • Automatic target tracking automation
  • Remote target designation from UAVs/operator views

Technology Stack

Microsoft HoloLens (UWP)
Unity 3D engine
NVIDIA GPU processing
C++ programming
Mixed Reality Toolkit

System Integrations

  • UAV video feeds
  • Combat management systems
  • Thermal imaging sensors
  • Vehicle power systems
  • Remote weapon station controls

Non-Functional Requirements

  • Real-time 4K video processing at 60fps
  • MIL-STD-810H environmental compliance
  • Low-latency (<50ms) video transmission
  • Multi-user collaborative viewing support
  • Secure encrypted data transmission

Expected Operational Impact

Enables 360° situational awareness for armored vehicle crews, reducing blind spots by 100% while improving threat detection speed by 40% through real-time thermal imaging and automated target recognition capabilities.

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