🧠 What is Threat Classification?

Threat classification is the process of identifying and categorizing aerial threats based on their physical, behavioral, and technological signatures. Our AI-powered system analyzes multi-sensor input to determine the threat level and recommend action in real time.

🚁 Drone Types Recognized

• Racing Drones – Fast, agile FPV drones used in attacks or reconnaissance
• Commercial Quadcopters – Readily available drones used for surveillance or payload drops
• Fixed-Wing UAVs – Long-range reconnaissance or delivery drones
• Custom-Built Drones – Modified for offensive or stealth missions

🔍 Behavioral Analysis

• Loitering – Staying in one area to observe or prepare for attack
• Circuiting – Flying repeated paths to map perimeters
• Diving – Aggressive, fast descent, often indicative of an attack pattern
• Swarming – Multiple drones acting in coordination

📦 Payload Detection

EO/IR imaging and radar signatures help estimate payload type:

• Camera Systems – Surveillance or intelligence gathering
• Explosives – Based on weight, heat, or size anomalies
• Jammers/Repeaters – Threats to local signals or networks

🟢 Confidence Scoring

AI models produce a confidence percentage (0–100%) indicating threat probability. Based on:

• Audio pattern recognition
• RF fingerprinting
• Radar cross-section analysis
• Visual pattern matching

Thresholds are adjustable to reduce false positives in high-noise or urban environments.

🎯 Output Format

Each detected object is tagged with:

• Type: FPV, Quad, Wing, Unknown
• Zone: Alpha/Beta/Charlie (configurable sectors)
• Confidence Score: % based on sensor fusion
• Suggested Response: Monitor / Alert / Intercept