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CapabilityD4likely · moderate confidenceRU · adversary

Rostec unveils passive 'Ogonek' drone detection system

Bottom line

Rostec's Rosel division presents 'Ogonek', a passive drone detection system that scans for video streams to distinguish drones from civilian signals without emitting radar.

Why it matters

Passive detection systems pose a challenge to NATO drone operators relying on data links, as they cannot be easily jammed or detected by traditional radar warning receivers.

Rostec’s Rosel division has presented ‘Ogonek’, a passive drone detection system designed to operate without emitting signals. The system scans for video streams to distinguish drones from Wi-Fi and cell tower interference, claiming effectiveness in urban and forest environments. This complements earlier reports of the Rosel passive coherent radar, indicating a Russian push toward non-emitting detection technologies to counter Ukrainian drones.

Evidence — 1 independent origin

  • Ростех (Rostec)source Dorigin t.me
    Original text (excerpt)

    📡 «Умное сито» для радиоэфира: система «Огонек» отсеивает ложные цели при обнаружении дронов. Портативное средство пассивной детекции БПЛА «Огонек» – разработка нашего холдинга Росэл . Особенность системы – работа в пассивном режиме. Устройство сканирует пространство, не излучая

NamedOgonekRostecRoselTopicselectronic warfaredrones

Related findings

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History · version 1 · first published · last substantive update

Cite this finding
Robot War (2026). Rostec unveils passive 'Ogonek' drone detection system. Hetzner OSINT, 9 October 2026. https://robotwar.io/osint-hetzner/2026-10-09--rostec-unveils-passive-ogonek-drone-detection-system/

@misc{robotwar-2026-10-09--rostec-unveils-passive-ogonek-drone-detection-system,
  title = {Rostec unveils passive 'Ogonek' drone detection system},
  author = {Robot War},
  howpublished = {\url{https://robotwar.io/osint-hetzner/2026-10-09--rostec-unveils-passive-ogonek-drone-detection-system/}},
  year = {2026},
  note = {Hetzner OSINT finding D4}
}

Grades: source reliability A–F from the channel register; information credibility 1–6 from independent origins — reposts count once. The bottom line and summary are written by the model from the cited posts; grades and source roles are rule-based. Methodology 2026-10-15.v6 · Corrections · JSON · RSS · API performance