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Anti-UAV-Radar
Created with Pixso. X-Band Radar Machine Learning And AI Recognition For Target Detection And Classification Of Airborne Targets

X-Band Radar Machine Learning And AI Recognition For Target Detection And Classification Of Airborne Targets

Markenname: MYT
Modellnummer: DD-R37
Mindestbestellmenge: 1
Preis: Pricing is negotiable based on order quantity
Lieferzeit: 10 Arbeitstage
Zahlungsbedingungen: L/C, T/T
Detailinformationen
Herkunftsort:
China
Zertifizierung:
CNAS、CMA、CAL、ILAC-MRA
TAS verfolgt die Zielanzahl:
≥6
Mindesterkennungshöhe:
≤10m
Geschwindigkeitsbereich:
1m/s~100m/s
Auflösungsverhältnis:
Entfernung: ≤15m, Azimut: ≤6°, Elevation: ≤4°
Betriebstemperaturbereich:
-40℃~+60℃
Größe:
≤ 510 mm * 3 40 mm * 135 mm
Verlustleistung:
≤1200W
Strom liefern:
AC220V/DC24V
Schutzstufen:
IP66
joggen:
RJ45-Netzwerkanschluss
Versorgungsmaterial-Fähigkeit:
1000 Einheiten pro Monat
Hervorheben:

X-Band radar for UAV detection

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AI recognition airborne target classification

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Anti UAV radar machine learning

Produkt-Beschreibung
The DD-R37 X-band long-range quad-cell radar 1, Product Overview The DD-R37 X-band long-range quad-cell radar is configured with a fully solid-state, fully coherent, and pulse Doppler system. This empowers it to carry out all-weather detection and early warning of "low, small, slow" targets. By leveraging machine learning and AI recognition technologies grounded in "micro-Doppler signatures" and "flight path features," the radar can effectively detect and classify a