Skywatch Acoustic

Hear the drones radio can't see

FPV racers, fiber-optic tethered drones and aircraft with Remote ID switched off broadcast nothing to detect. They can't stop making noise. Skywatch Acoustic listens for drone motors, and for gunshots and nearby pilot radios, and puts every detection on the same map as your Remote ID sensors.

Non-cooperative dronesPer-site trainingAudio evidenceHuman review
From microphone to map
SITE THRESHOLD ALERT: 4 OF 6 WINDOWS DRONE SCORE, EVERY 0.5 s
01 — LISTEN
A model trained for each site

An iPhone running Skywatch Acoustic Lab with a Shure MV88 microphone (and soon, microphones on Skywatch sensors) feeds a compact neural network that scores the sound every half second for drone motors. When you set up a new location, the app records its normal background first, so the alert threshold is set for that site rather than guessed.

  • Guided recording of the site background at setup
  • Quick, full and NIST test-lane sessions to teach it a specific drone
  • Retraining on the phone, in about a minute
  • Alerts only when the drone sound persists (4 of 6 half-second windows)
  • Trained only on commercially licensed data and your own recordings
DRONE HEARDAt the microphone; live while the alert runs
POSSIBLE GUNSHOTUnverified until a person listens; ring shows how far the bang may have come from
RADIO NEARBYFPV controller or goggles within a few metres of the mic
MAP MARKERS
02 — LOCATE
On the map, honestly placed

Sound alone doesn’t give a drone’s position, so the marker sits at the microphone with a speaker icon and the drone was heard nearby. Each alert carries its start, end, detection score, motor tone and a short audio clip, and stays in history with your Remote ID flights.

  • Live and historical acoustic markers on web and iOS
  • Play the clip and its waveform right in the popup
  • Remote ID flights at the same time are listed alongside
  • Confirmed detections produce a law-enforcement incident report with the audio embedded
Gunshots and pilot radios
POSSIBLE GUNSHOT · UNVERIFIEDMachine detection of a loud impulse
✓
GUNSHOT · CONFIRMEDA reviewer listened and confirmed it
✕
FALSE ALARMGreyed out, and kept as training data
03 — IMPULSES
Possible gunshot, with the audio to prove it

The same microphones flag loud, sudden bangs. A single microphone can only say a shot was heard within about a kilometre, so the map draws a ring rather than a point. Fireworks, backfires and slams can trigger it, so every event is marked unverified until a person listens to the clip.

  • Burst marker with a ring, plus a short clip from before the first bang
  • Confirm as firearm or counter-drone net gun, or reject with the real cause
  • Rooftop mounting and short clips only, never continuous recording
  • Every play, download and review is logged
RADIO NEARBYSteady click train, 10 or more clicks over 4 s or longer
04 — RADIO NEARBY
A steady click means a pilot is close

An FPV controller or goggles a few metres from the microphone clicks into its audio at a metronome-steady rate, often before the drone is even armed. Skywatch recognises that pattern and files it as a radio detection, an early sign that a pilot is standing near the sensor.

  • Antenna marker: "possible FPV pilot nearby"
  • Separated from gunshots automatically
  • Reviewers can re-file any clip as radio, drone or gunshot
Review once, train forever
DRONE 1.2–11.2 s NET GUN 5.0–5.7 s
REVIEW: DRAG TO LABEL PARTS OF A CLIP
05 — REVIEW
Every clip you review becomes training data

Confirm or reject each detection and say what it really was: radio clicks, fireworks, wind, a vehicle. Drag across the waveform to label exactly where a drone, shot or radio is heard; regions can overlap, so a drone flying through a net-gun shot trains both detectors.

  • Drag-to-label regions on web and iOS
  • Retraining on the phone pulls your reviews in first
  • Admins can export every reviewed clip for laptop training
  • False alarms from a site teach that site’s model what to ignore
FIELD KIT

Skywatch Acoustic Lab on iPhone with a Shure MV88 microphone, or the iPhone's own mic for quick tests.

FIXED SENSORS

Coming next: low-cost digital MEMS microphones on Skywatch rooftop sensors, reporting through the same pipeline.

RANGE

Typically up to a couple of hundred metres for a small drone in calm air, much less in wind. Record your own site to find out.

EVIDENCE

Short clips around each alert, stored with the detection, playable and downloadable by authorised users only.

WHAT IT CAN'T DO (YET)One microphone tells you a drone is near it, not where it is or how high. Bearing and position need a microphone array, or radar and infrared cueing, both on the roadmap. Gunshot detection is a machine filter for human review, not an automatic dispatch trigger.
Your team, on the same map

Members of a Skywatch team, or of an event while it’s on, see each other’s live position on the Skywatch map in the web app, the Skywatch iPhone app and the De-confliction app, right next to drones, acoustic detections and sensor coverage. No separate tracking app needed.

TEAMS & EVENTS

Create a standing team, or an event with a start and end time. Event members see each other only while the event is on.

EMAIL INVITES

Any member can invite people by email. Someone new creates their Skywatch account from the invite and joins straight away.

ONE SWITCH

One location-sharing switch for your account, the same on every device. Teammates fade after 2 minutes without an update and disappear after 5.

ONE ACCOUNT

Create a Skywatch account from any app and use it everywhere. Every account gets the De-confliction tool and the live map; law enforcement users can request full access from inside the app.

WHEN YOU’RE VISIBLEThe phone apps share your position while they’re open on screen or recently used, not in the background. Switch sharing off at any time; Skywatch master accounts can see every shared position.
Part of the SKYWATCH platform

One account for the web app, the Skywatch iPhone app and the De-confliction app: the live map, alert zones, history, incident reports, teams and every module on this page.

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