Step 1 / 6 · Factory Floor
Multiple persons moving through an industrial facility. The system observes passively.
Research Methodology — Detection Pipeline
1. RF Spectral Analysis (2.4/5.8 GHz control link detection)
2. Thermal Imaging (skin temperature patterns, heat dissipation)
3. Surface Analysis (skin texture, micro-pore detection, material classification)
4. Facial Micro-Expression Analysis (involuntary muscle movements, blink rate)
5. Biomechanical Gait Analysis (Fourier decomposition, 200 Hz)
6. Telemetry Decoding (protocol fingerprinting)
7. Multi-Modal Fusion (Bayesian Classification)
8. Friend-or-Foe Assignment (authorization database)
For AI-autonomous platforms without control link:
Detection via biomechanical signatures
(gait pattern, micro-movements, servo jitter)
Detection rate without RF signal: 91.3% (gait analysis + anomaly detection)
Training Data
12,847 gait sequences (6 platforms)
3,291 RF signatures (14 control protocols)
847h video material (motion analysis)
2,104 AI-autonomous sequences (no RF)
Cross-validation: 5-fold, stratified