Border & Territorial Security
Every border security problem is different. We assess your terrain, threat profile and existing capability, then configure the solution that fits.
Glossary
Wide-area motion imagery is airborne collection from a multi-camera array that images a whole district or small city continuously at a low frame rate, so that any movement inside the covered area can be found and followed after the fact. Its value is retrospective: an analyst can rewind to where a vehicle came from, which a conventional turret cannot do.
An array of cameras, boresighted together and carried at altitude, imaging a wide footprint at a few frames per second rather than a narrow one at full video rate. The result is a continuously recorded picture of an entire area over a period of hours.
Resolution is deliberately traded away. WAMI will not identify a face or read a plate. It will reliably show that a vehicle-sized object moved from here to there at this time, across a footprint a turret would need days to search.
The distinguishing capability is backtracking.
An incident occurs. With a turret, collection begins when the aircraft is cued and the operator finds the location, and everything before that moment is unrecorded. With WAMI, the area was already being imaged, so an analyst can go to the time and place of the incident and then run the recording backwards — following the vehicle that left, to the building it came from, to the route it took to get there.
That converts a single event into a network. It is why WAMI is associated with counter-narcotics and counter-IED work: the question is rarely “what happened” and almost always “where did it come from and who else is involved.”
Two burdens decide whether a program can sustain WAMI.
Analysts. A wide-area sensor does not produce a feed somebody watches. It produces an archive somebody queries, and the exploitation effort scales with how many questions are asked of it. A turret needs an operator. WAMI needs an exploitation cell, and the PED headcount is usually several times what the same program would need for full-motion video.
Storage and movement. A sortie generates a volume of imagery that is impractical to downlink in full over satellite. Most architectures record onboard, downlink a low-resolution overview plus operator-selected windows in real time, and move the full archive on physical media after landing. That is workable, and it means the retrospective capability is available hours later rather than immediately.
It fits where activity is concentrated in a definable area — a border district, a port and its approaches, a city sector, a route network — and where the analytical question is about patterns and origins over time.
It does not fit a long thin border with dispersed crossings, which no realistic footprint covers. It does not fit maritime search, where the target moves faster than the footprint is useful and radar is the correct sensor. And it does not fit a program without the analysts to exploit it, where it produces an expensive archive nobody opens.
WAMI and a turret are complements rather than alternatives. The wide-area sensor detects and holds the history; the turret is cued onto whatever the wide-area sensor found and answers the identification question the wide-area sensor cannot.
In a layered border architecture the same logic extends downward to unattended ground sensors, which watch the quiet stretches continuously at almost no recurring cost and cue the aircraft so it is responding rather than searching. The sensors are chosen as a set, against the collection requirement, rather than individually.
Most partner-nation programs should not start with WAMI. Start with the layer that answers the first-order question, prove the exploitation cell can keep up with it, and add wide-area collection when there is a demonstrated analytical demand it can feed. Buying it first generally produces a capability that is admired in demonstrations and unused in service.
Common Questions
Collection from a multi-camera array that images a whole district or small city continuously at a low frame rate, so any movement inside the footprint can be found and followed afterwards. Resolution is deliberately traded for coverage.
Because the area was already being imaged before an incident, an analyst can go to that time and place and run the recording backwards, following a vehicle to where it came from and the route it took. That turns a single event into a network, which is why wide-area imagery is associated with counter-narcotics work.
Materially more than full-motion video. It does not produce a feed somebody watches; it produces an archive somebody queries, and the exploitation effort scales with how many questions are asked of it. The analysis cell is usually several times larger for the same program.
No. It will not resolve a face or a plate. It reliably shows that a vehicle-sized object moved from one place to another at a given time. Identification requires cueing a turret onto what the wide-area sensor found.
Usually not. Start with the layer that answers the first-order question, prove the exploitation cell can keep up, and add wide-area collection when there is demonstrated analytical demand. Buying it first tends to produce a capability admired in demonstrations and unused in service.