Military

AI system using computer vision, which combines in a Mesh network of stationary, mobile and aerial optoelectronic stations, as well as radio-electronic intelligence modules.  Using artificial intelligence, it identifies, tracks and predicts the trajectories of flying objects. Providing continuous monitoring and access to real-time airspace data for services

  • Rising threats from UAVs in military and civilian sectors
  • Limitations of radar systems
  • AI-powered automation needed for better threat identification

A sample of
an optical-electronic station

Components

  • TV camera DataVideo-BC-50
  • Thermal imager XTM 640 GigE ( Xenics )
  • Laser range finder LR-DR-07-N

Characteristics of detection

  • Range – up to 5km radius
  • Height – up to 4 km
  • Laser range finder LR-DR-07-N

Capabilities

All capabilities give opportunity to make target designation in real time and increasing probability of successful target destruction on 15%
Detection, automatic target tracking, identification and designation
Coordinates designation

How It Works

Key challenges in aviation security:

Deploying a network of stations

  • Optimal location of 3-6 stations for full coverage

Stages of work

  • Object detection (drones, birds)
  • Threat classification using AI
  • Real-time data transmission to control centres

Prediction and prevention

  • Early warning to take necessary action

Project opportunities

  • Capacity – up to 800 stationary modules (Ukraine)
  • Mobile stations – up to 500 pcs.
  • Can be installed on UAVs
  • Own deployment and support service
  • Civil and aviation usage online – unlimited

Current status

  • First versions of optoelectronic stations
  • MVP software developed (with AI functions)
  • Own design of the support and rotary platform
  • Preliminary preparation for mass production
  • BRV1 status and financing fr

Production capabilities

  • 50-60 modules per month
  • Possibility to increase the number by 2-3 times

Financial performance for
2025-2026

  • The cost of the station is – $40 000
  • Profitability – 20%
  • Possible sales – 800 pcs
  • Investments made: $350,000
  • Required investment $1 300,000
  • Net profit per station: $8,000
  • Total net profit for the year $6,400,000

Total net profit, including return on investment, is approximately

$4 750 000

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    Ensure airspace safety with PANOPTES

    qr-code Demo of the system
    qr-code Testing the system