FourScan vs cool

Protect your privacy with 4 scanning technologies. Worried about hidden cameras or listening devices in hotels, Airbnbs, or rental spaces? FourScan runs 4 detection scans sequentially with a single tap. [4 Detection Powers] 1. Magnetic Scan - Detects magnetic field anomalies from electronic devices 2. Infrared Scan - Uses front camera to detect IR LEDs from night vision cameras 3. Wi-Fi Scan - Discovers suspicious devices on the local network 4. Bluetooth Scan - Searches and analyzes nearby BLE devices Note: Basic checking tool, not a substitute for professional investigation.

cool-radar turns the radios already inside your iPhone into a radar for the devices around you — with no extra hardware, and without inventing a single number. WHAT YOU SEE Nearby Bluetooth LE devices appear as contacts with an estimated distance, a bearing once there is enough geometry to support one, and a ranked guess at what each device actually is. The Wi-Fi card shows the link your phone is really on: type, interface, local address and subnet, the default gateway and the gateway's manufacturer. Where both ends have UWB hardware, distance stops being an estimate and becomes a measurement. HONEST BY DESIGN Every value carries a badge. "Measured" is a hardware reading. "Inferred" is a value the math derived. Distances read "≈ 4.5 m" because radio ranging is an estimate, not a ruler. When there is not enough geometry for a direction, the app draws a ring of possible positions and a question mark instead of a convincing-looking arrow. And when iOS simply does not expose something — neighbouring Wi-Fi networks, raw spectrum, Wi-Fi CSI — the app says so instead of filling the gap with fiction. THE MATH INSIDE • Log-distance path-loss inversion, with a per-device exponent that recalibrates itself from the geometry you walk • Kalman filtering with motion-gated noise, so a device that is standing still stops drifting on screen • Robust multilateration with Huber weights, so a single reflection off a wall cannot drag a position across the room • A naive-Bayes hypothesis engine that ranks device types from the broadcast name, company ID, advertised GATT services, transmit power, address policy and advertising cadence — and shows you the evidence behind every guess • Behaviour analytics over the signal time series: advertising interval, jitter, trend and periodicity • Radio tomography that maps excess path loss into an attenuation picture of the space FEATURES • Top-down radar with range rings, pinch to zoom, double tap to reset • Device list with search and type filters • Device card with signal history, ranked hypotheses and the evidence for each • Unwanted-tracker heuristics based on public advertising patterns • CSV export of a session • Full Russian and English, switchable inside the app PRIVACY All sensing and all math run on your iPhone. No account, no analytics, no tracking, no advertising identifier. One optional setting — off until you turn it on — may send a 24-bit manufacturer prefix to a public vendor database to name your router. Nothing else ever leaves the device. Use cool-radar only on networks and devices you are entitled to inspect. It does not decrypt Find My identities, does not enumerate neighbouring Wi-Fi networks, and provides no covert tracking of people. REQUIREMENTS iOS 18 or later. Bluetooth works on every iPhone. UWB distance needs U1/U2 hardware on both devices. Room geometry needs a LiDAR model. Anything unavailable on your hardware is shown as unavailable rather than simulated.