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Japan orders 900 SMASH 3000 anti-drone sights for naval crews

Bottom line

Japan's Maritime Self-Defense Force has ordered approximately 900 SMASH 3000 anti-drone sights from Israeli firm SmartShooter to mount on naval rifles.

Why it matters

The large-scale adoption of AI-assisted anti-drone sights by Japan highlights the growing threat of small UAVs to naval assets and the shift towards integrating counter-drone technologies into standard infantry and naval weapon systems.

Japan’s Maritime Self-Defense Force has placed an order for around 900 SMASH 3000 anti-drone sights from Israeli manufacturer SmartShooter. These systems, which mount on Howa Type 20 rifles, use optical sensors and algorithms to track small UAVs and time shots for naval crews, enhancing point-defense capabilities against drone threats.

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Evidence — 1 independent origin

  • Telegram channel:Історія_Зброї (Istoria Zbroi)source Corigin t.me
    Original text (excerpt)

    🇯🇵 Японські моряки отримали протидронові приціли SMASH 3000 Японські військові моряки озброїлися прицільними комплексами SMASH 3000 ізраїльської компанії SMARTSHOOTER. Системи встановлюють на японські штурмові гвинтівки Howa Type 20 для підвищення ефективності боротьби з безпілот

NamedSMASH 3000Howa Type 20Topicselectronic warfarecomponents

Related findings

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History · version 1 · first published · last substantive update

Cite this finding
Robot War (2026). Japan orders 900 SMASH 3000 anti-drone sights for naval crews. Hetzner OSINT, 21 October 2026. https://robotwar.io/osint-hetzner/2026-10-21--japan-orders-900-smash-3000-anti-drone-sights-for-naval-crews/

@misc{robotwar-2026-10-21--japan-orders-900-smash-3000-anti-drone-sights-for-naval-crews,
  title = {Japan orders 900 SMASH 3000 anti-drone sights for naval crews},
  author = {Robot War},
  howpublished = {\url{https://robotwar.io/osint-hetzner/2026-10-21--japan-orders-900-smash-3000-anti-drone-sights-for-naval-crews/}},
  year = {2026},
  note = {Hetzner OSINT finding C3}
}

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 2026-10-18.v7 · Corrections · JSON · RSS · API performance

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