REINFORCED CONCRETE
Mag>30µT + RSSI<-15dB
Rebar + Faraday cage. Hardest to penetrate. Common in bunkers / building basements.
World first: connected WiFi router becomes a passive X-ray source so you can "see" through walls using RSSI/BLE/magnetometer fusion.
The animation shows how the RF beam from the router passes through different materials (wall, concrete, cavity, metal) and the app auto-classifies the result into 1 of 7 verdicts.
Each verdict combines RSSI attenuation, magnetic field deviation, and FSPL (Free-Space Path Loss) deviation analysis.
Mag>30µT + RSSI<-15dB
Rebar + Faraday cage. Hardest to penetrate. Common in bunkers / building basements.
High-pass Rician fading
Cables, pipes, metal doors. Produce multi-path interference with Rician distribution.
RSSI gain > +8dB
Ducts / corridors. Signal amplifies from wall reflections (waveguide effect).
RSSI gain +3 to +8dB
Crypts, voids, hidden spaces. Signal penetrates more easily than expected.
−6 dB / wall
Drywall, brick, plaster. Standard attenuation per physics.
baseline ±3 dB
Open space, no obstacles. Free-space path loss dominates.
IMU static + sudden drop
Person or animal passing. IMU says user is static but signal suddenly drops.
Connect to any WiFi router. No special config needed — any router (2.4 or 5 GHz) becomes a passive X-ray source.
Stand still for 20 samples (~10 sec). The app computes baseline RSSI for that spot. Status indicator turns 🟡.
Move slowly around walls. Status turns 🟢. See live verdict for each direction you point.
Combine with Tactical AR HUD + Magnetic DNA for cross-validation. If 2-3 systems agree → ground truth.
Detect hidden crypts in temple basements, archaeological sites, Byzantine monuments — without excavation.
Recognize caches, hidden chambers, tunnel networks in urban environments. Counter-camouflage without being seen.
Locate rebar, electrical cables, plumbing inside walls before remodeling/drilling.
Hidden caches in apartments, secret compartments in vehicles. With expert-witness reports.
Inverse Square Law: requiredSharpness = 8 / r²
Inverse Cube Law: minMagThreshold = 40 / r³ (clamped 2-50µT)
Free-Space Path Loss (FSPL) deviation analysis
Median open-air calibration with 20 samples. Filter out spikes (>2σ from median) to avoid bias from passing motion. Baseline stored for 10 min — then re-calibration required.
Combines WiFi RSSI (if >5 APs visible), BLE RSSI (continuous monitoring), magnetometer ΔB (from phone sensor), and IMU (accelerometer for stability detection). Verdict from weighted ensemble.