EO/IR - Khan BMS Battlefield Management System
EO/IR — EO/IR Fusion — is one of the unglamorous primitives modern BMS lives or dies on. Here is how Khan BMS engineers it.
Definitions first. EO/IR = EO/IR Fusion. Fusion of visible and infrared imagery to improve recognition across day, night, weather, and obscurants. EO/IR Fusion is fusion of visible and infrared imagery to improve recognition across day, night, weather, and obscurants. In defense applications, it improves target detection when one band is saturated, dark, smoky, or thermally confusing. The hard part is registration error and adversarial thermal masking, especially when systems are deployed across contested links, coalition boundaries, and mixed human-machine teams. KhanBMS treats it as a fielded perception primitive for KhanBMS tactical sensing, tying the concept back to modular command, edge execution, and auditable authority.
In our reference deployment, EO/IR runs at the edge with no continuous-uplink assumption. Nodes carry the last lawful EO/IR state, gossip updates when bandwidth allows, and reconcile via a vector-clock scheme borrowed from distributed-database literature.
The Zuun (one hundred nodes) is the natural composition point for EO/IR. Ten Arbans aggregate their EO/IR state into one Zuun-level picture; one Zuun commander supervises ten subordinates, never a hundred individual feeds. The cognitive-load math is the entire point.
Most of what is written about EO/IR is wrong in the same way: it treats EO/IR Fusion as a protocol to be implemented. It is not. It is an architectural commitment, and the cost of getting it wrong shows up two programs later.
If EO/IR matters to your formation, the integration question is not whether to support it. It is how cleanly the rest of your stack survives when it is the only thing still working.