SeeedRadarTool vs cool

Description: The SeeedRadarTool app is designed to complement the mmWave for Xiao module by Seeed Studio. It provides developers with a convenient toolset for exploring and developing applications using the mmWave technology. With this app, users can easily configure and interface with the mmWave for Xiao module, access sensor data, and develop custom software solutions. Key Features: Convenient configuration interface for mmWave for Xiao module Access to real-time sensor data Customizable settings for advanced users Developer-friendly API for software integration Compatible with Seeed Studio's mmWave for Xiao hardware Note: This app is intended for development and educational purposes. It requires the mmWave for Xiao module from Seeed Studio to function properly. Feedback: We value your feedback! If you encounter any issues or have suggestions for improvements, please contact us at techsupport@seeed.io. Privacy Policy: For information about how we handle your data, please refer to our privacy policy available within the app or on our website.

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.