- ATAK can show far more than people: drone video, camera footprints, ground sensors, radar, aircraft and ship tracks, and much more.
- Drone video arrives with metadata that tells ATAK where the aircraft is and where the camera is looking, so the footprint can be drawn on the map.
- Almost any sensor can join the TAK picture once its data is turned into something TAK understands, usually Cursor on Target.
- Map data such as KML gives sensor data its meaning: a footprint over an area of interest, or an alert next to a boundary, tells a story a raw feed cannot.
- Shared through TAK Server, one sensor feed can inform every user, from the operations centre to the team on the ground.
Why sensor data belongs in ATAK
ATAK is at its best when it shows not just where your team is, but what your sensors are seeing. Drones, cameras, ground sensors, radars and tracking systems all produce information about the world around a team. On their own, each usually lives in a separate screen, application or control station. Bring them into ATAK and they land on the same map the team already uses to plan and move.
That is the core of most TAK integration work: taking data from a sensor or system, turning it into something TAK understands, and putting it in front of the people who need it. If you are new to the ecosystem, our guide What is ATAK? covers the basics, including Cursor on Target, the message format most sensor data ends up in.
Drone video and sensor footprints
Drones are the integration most teams ask for first. A useful drone integration in ATAK is made of three parts, and each adds something the others cannot.
- The video itself. Full-motion video (FMV) from the drone's camera, streamed to ATAK and played in its video viewer, next to the map.
- The aircraft on the map. The drone appears as a live symbol, so everyone can see where it is and where it is heading.
- The sensor footprint. The patch of ground the camera is looking at, drawn on the map and updating as the camera moves, along with the point at the centre of the frame.
Where the footprint comes from
Military and many commercial drones embed KLV metadata in their video stream, typically following the MISB standards used across the defense community. Frame by frame, it describes the aircraft's position and altitude, which way the camera is pointing, how far it is zoomed, and where the corners of the image fall on the ground. ATAK uses that information to place the footprint on the map.
Without metadata you still get a video feed, but the link between what the camera sees and where it is on the map is lost. That link is what turns a video into situational awareness.
The data streams TAK can take in
Sensors deliver data in many shapes. Some speak TAK natively; most need a translation step, either in an ATAK plugin, on a gateway or at the TAK Server. These are the kinds of streams that commonly feed a TAK picture:
| Stream | Examples | What it becomes in TAK |
|---|---|---|
| Live video | Drone and aircraft cameras, fixed and PTZ cameras, body-worn and vehicle cameras | Video in ATAK, linked to a location on the map |
| Video metadata | KLV embedded in drone video | Aircraft position, sensor footprint and frame centre |
| Cursor on Target / TAK Protocol | Systems already built for TAK | Markers, tracks, shapes and alerts, with no translation needed |
| Track feeds | ADS-B aircraft, AIS vessels, GPS trackers, fleet telemetry | Moving symbols with history trails |
| Device connections | Radios, sensors and wearables over Bluetooth, USB or serial | Live readings and positions from equipment the user carries |
| Network data and APIs | Web services, IoT messaging, databases and alerting systems | Markers, alerts and status shown on the map |
| Map layers and files | KML/KMZ, shapefiles, GPX, imagery and map tile services | Boundaries, routes, areas and base maps that give everything else context |
Because everything ends up in a common format, data from very different sources can sit side by side, be filtered and shared in the same way, and travel through TAK Server to every user who should see it.
Sensors that can join the TAK picture
If a sensor can report what it detected and where, it can usually be brought into TAK. Some of the categories teams integrate:
- Airborne: drones and other aircraft carrying daylight, thermal and zoom cameras, along with their position and flight path.
- Fixed and mobile cameras: perimeter and pan-tilt-zoom cameras, vehicle cameras and body-worn cameras.
- Ground sensors: unattended ground sensors that detect movement, vibration, sound or heat, and report an alert at their location.
- Radar: ground surveillance and counter-drone radar, showing detected targets as tracks.
- Radio frequency: RF detection and direction-finding systems that locate transmitters and drone controllers.
- Air and maritime traffic: ADS-B for aircraft and AIS for ships, adding the wider traffic picture around an operation.
- People and vehicles: personnel trackers, beacons, mesh radios and vehicle telemetry, including users who do not carry ATAK themselves.
- Environmental and hazard: weather stations and chemical, radiological or air-quality detectors that report readings with a location.
Each sensor answers part of the question. Together on one map, they answer the whole thing.
Giving sensor data context with KML and TAK data
A sensor feed on its own tells you that something happened. Put it on a map that already holds your plan, and it tells you what it means. That is where KML and other map data come in.
Organizations already have this information: operating areas, property lines, building footprints, fire perimeters, search sectors, restricted airspace, routes and infrastructure. Exported as KML or KMZ, or as shapefiles and imagery, it can be loaded into ATAK and shared with the whole team. Laid under live sensor data, it changes how that data reads:
- A drone footprint over a search sector shows at a glance which ground has been covered and which has not.
- A ground sensor alert next to a boundary tells the team whether something is approaching, crossing or simply passing by.
- A camera view over a fire perimeter shows where the fire has moved since the perimeter was drawn.
- Aircraft tracks over restricted airspace separate routine traffic from the aircraft that need attention.
- A radar track near critical infrastructure shows exactly what is at risk and who is closest to respond.
ATAK's own tools add more context on top: drawn areas and geofences that alert when something enters them, range and bearing from a team to a detection, elevation and line-of-sight analysis, and the track history of anything that moves.
What this means for the people using it
When sensor data lives on the same map as the team, the benefits show up in day-to-day work:
- One picture instead of many screens. Users stop switching between a drone station, a camera system and a map.
- Everyone sees the same thing. Through TAK Server, a drone feed in the operations centre can also reach the team on the ground, and a partner agency through federation.
- Less said over the radio. Instead of describing what a sensor sees, users can point to it on the map.
- Faster decisions. An alert that arrives with its location, its context and the nearest team already on the map shortens the time between detection and action.
- A record of what happened. Tracks, alerts and footprints can be reviewed after an operation or exercise.
What to think about before integrating
Every integration starts with the same questions: what the sensor outputs and how it can be reached, which users need to see it, how much bandwidth the network between them really has, and whether the data needs any handling or filtering before it is shared. Video in particular is heavy, so teams on constrained radio links often share the footprint and still images rather than the full stream.
Bringing drones, cameras and sensors into the TAK ecosystem is a large part of the work our TAK integration team does, through ATAK plugins, gateways and TAK Server. For the planning side of plugin work, see Building an ATAK plugin.
Talk to the engineers who wrote this guide.