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Military Augmented Reality System (MARS)

The Military Augmented Reality System (MARS) is an augmented reality (AR)-based individual combat AI device, mounted on helmets and body armor. It consists of tactical goggles and a tactical terminal, with external connectivity to individual power supplies, tactical ad-hoc networks, smart wristwatches, and smart sights.

Using binocular array waveguide AR optics, it overlays digital imagery (e.g., command indicators, markers, maps, or video feeds) onto the real-world field of view. Key capabilities include:

1. Multi-Spectral Reconnaissance

Tactical goggles integrate low-light night vision, long-wave infrared (LWIR), and visible-light RGB sensors.

Displays night vision, infrared, thermal fusion, and picture-in-picture (PiP) imaging.

Enables off-axis shooting by streaming smart sight feeds to the goggles for corner-shooting

2. Heads-Up Display (HUD) Capability

Projects tactical compasses, friendly/foe positions, and maps onto the waveguide display.

Hands-free operation enhances situational awareness.

3. Soldier Monitoring

Tracks real-time positioning and vital signs, shared with teammates’. HUDs and command centers

4. 3 D Target Designation(Optional features)

Uses laser rangefinders and positioning systems from smart holographic sights to mark 3 D coordinates.

Enables point-and-control for autonomous unmanned platforms.

5. Multi-Source Command & Dispatch

Transmits visible-light, night vision, infrared, and thermal fusion video via tactical ad-hoc networks to command centers.

Displays soldier location, vitals, and combat status.

Receives and executes real-time command directives.

6. Unmanned Platform Control

Connects to robotic dog units, UGVs, UAVs(FPV drone), and weapon stations, supports real-time visual streaming via the MESH terminal.

Replaces dedicated remote controllers for cross-platform.

7. Edge AI Capabilities(Optional features)

Embedded offline AI models enable:

Battlefield decision support Real-time multilingual translation Voice interaction

AI threat detection and alerts

8. Live Combat Training Integration(Optional features)

Interfaces with force-on-force training systems to project virtual targets onto tactical goggles Collects and analyzes training data for performance improvement.

Achieves seamless integration of training and combat readiness.


Main Unit

  • Processor:
    Rockchip RK3588
  • Memory:
    8GB RAM / 64GB Flash
  • AI Computing Power:
    6 TOPS
  • Display:
    6-inch FHD touchscreen
  • Positioning Accuracy:
    Bei Dou, 1 meter
  • Network Port:
    1Gbps, aviation connector
  • Charging:
    12V/2A, aviation connector
  • Operating Temperature:
    -20℃ to +55℃
  • Video Transmission Protocols/Interfaces:
    RTSP, HTTP, H.264
  • Additional Features:
    Dual joysticks/knobs; 8 customizable buttons Unmanned equipment control; Video transmission (HDMI IN);Optional 5G module
  • Usage:
    Wearable device
Geometric Waveguide Goggles

  • Optical Combiner:
    Binocular geometric waveguide module
  • Display Panel:
    1920 ×1080
  • Micro-Display:
    Micro-OLED
  • Optical Structure:
    LCOS
  • Field of View (FOV):
    40°
  • Brightness:
    >800 nits
Sensors

  • RGB Color Sensor:
    8 MP, DFOV 25°, 30fps
  • 9-Axis IMU:
    3-Axis Accelerometer, 3-Axis Gyroscope, 3-Axis Magnetometer
Low-Light Sensor

  • Resolution:
    1600 ×1200
  • FOV:
    60.4°×47.1°
  • Aperture:
    F/1 .3
  • Operating Temperature:
    -20°C to +55°C
Thermal Infrared Sensor

  • Resolution:
    640 ×512
  • FOV:
    59.9°×46.7°
  • Aperture:
    F/1 .05
  • Operating Temperature:
    -20°C to +55°C