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Product Code: 57239-999
43 040 грн.
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Main specifications
Detection range: 150–450 m (depending on environmental conditions)
Device type: Tactical Acoustic Sensor for FPV Drone Detection (ZVOOK NW0 LoRa)
Features: Real-time FPV drone detection; 360° acoustic coverage; 24/7 AI-powered soundscape analysis; Aerial threat detection; Data transmission to ZVOOK UI (interactive map); Network operation with dozens/hundreds of sensors; Optional audible alert; OTA software updates; LoRa network deployment without LTE/Starlink; Integration with EW and other response systems; Support for automated external system launch
How it works: Acoustic spectral analysis (40 Hz – 5 kHz) with AI-based UAV signature recognition and threat signal/coordinate transmission via LoRa network
Interfaces / Connectivity: LoRa (main communication channel); Ethernet (for gateway sensors); Integration with ZVOOK UI; Network connection to interactive platform; Data transfer rate: ≥ 5 Mbps; Support for building mesh/distributed networks
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Description

ZVOOK NW0 LoRa is a tactical acoustic sensor developed by a team of active military personnel and IT engineers to detect enemy FPV drones (including those on fiber optics) by the sound of their operation.

The device is equipped with artificial intelligence that continuously analyzes the acoustic environment and instantly reacts to the appearance of an aerial threat. The detection range is 150-450 meters, and the device operates 360 degrees.

Upon target detection, the sensor:

  • activates an audible alert (optional),
  • transmits data to ZVOOK UI — a user-friendly interface for monitoring dozens or hundreds of sensors on an interactive map in real time.


The sensor has a high level of protection against dust, water, and mechanical impact (IP67), allowing it to be used in challenging combat and weather conditions. The system supports remote firmware updates, ensuring the device is continuously improved to address new types of threats.

The sensor is supplied as a complete kit; upon receipt, it only needs to be assembled and connected. The sensor's power consumption is up to 20 watts. 

Acoustic sensors offer the technical capability to build a full-fledged network to protect the line of contact, frontline cities, or logistics routes. Depending on combat conditions and terrain complexity, the network can be built using fiber optics, twisted pair, LTE, or a LoRa radio channel. 

For building a reliable network, a recommended sensor placement distance is 400-600 meters from each other.

The simplest option for deploying a sensor network is to use LoRa technology, given the insufficient availability of Starlink systems and LTE networks at the front line. A Gateway sensor, when connected to Ethernet, activates a radio channel for 5-7 km depending on the radio horizon. Other types of sensors (Slave), for detecting FPV drones, only need to be connected to a power source. 

This device can be integrated into EW systems and complexes for winding fiber optics with concertina wire for automatic launch initiation upon FPV drone detection.

Operates from a wide voltage range:

  • 220VAC
  • 12V, 24V, 48V DC
  • possible integration with solar panels for full autonomy
  • with Zvook Power Box     
     


Tactical and technical characteristics

  • Transducer type microphone 
  • Microphone frequency range 40 Hz to 5 kHz 
  • Microphone sensitivity minus (-) 10 dB FS 
  • Signal-to-noise ratio 74 dB FS 
  • Signal power 30 dB SPL 
  • Response speed (data 
  • update) 2 s 
  • Maximum sampling frequency 48000 Hz 
  • Weight 2kg 
  • Dimensions 300x200x100 mm 


Operating temperature range  

  • microphones from -30⁰С to +70⁰С 
  • microcomputer from -30⁰С to +60⁰С 


Moisture protection  

  • electronic components IP68 
  • microphone IP57 


Power supply via POE technology 48-53 V, DC 

  • electrical network 220 V, AC 
  • rechargeable batteries 12 or 48 V,  DC 
  • solar panel 24 V,  DC 


Power consumption 

  • electricity 15W 


Communication             

  • LoRa
  • Data transfer rate no less than 5 Mbps

 
Tactical indicators 

  • UAV with electric motor 150-450 m
Specifications
Detection range 150–450 m (depending on environmental conditions)
Device type Tactical Acoustic Sensor for FPV Drone Detection (ZVOOK NW0 LoRa)
Features Real-time FPV drone detection; 360° acoustic coverage; 24/7 AI-powered soundscape analysis; Aerial threat detection; Data transmission to ZVOOK UI (interactive map); Network operation with dozens/hundreds of sensors; Optional audible alert; OTA software updates; LoRa network deployment without LTE/Starlink; Integration with EW and other response systems; Support for automated external system launch
How it works Acoustic spectral analysis (40 Hz – 5 kHz) with AI-based UAV signature recognition and threat signal/coordinate transmission via LoRa network
Interfaces / Connectivity LoRa (main communication channel); Ethernet (for gateway sensors); Integration with ZVOOK UI; Network connection to interactive platform; Data transfer rate: ≥ 5 Mbps; Support for building mesh/distributed networks
Kit Contents ZVOOK NW0 LoRa Sensor; Microphone Module; Control Unit (300×200×100 mm); Connection Cables; Mounting Kit; Access to ZVOOK UI; Software with OTA Updates; LoRa Network Settings
Mounting Stationary / network / field; Recommended distance between sensors: 400–600 m; LoRa network deployment capability: 5–7 km (gateway nodes)
Mounting type Stationary / Network (distributed LoRa sensor network)
Power Supply 220V AC; 12V / 24V / 48V DC; PoE 48–53V DC (for gateway); Solar panels 24V DC; Battery systems; Integration with Zvook Power Box
Purpose Detection of enemy FPV drones (including fiber-optic drones) by acoustic signal and data transmission via LoRa network
Sensitivity −10 dB FS (microphones); SNR: 74 dB FS; Signal power: 30 dB SPL; AI noise filtering and stable target detection
Sensor type Microphone Acoustic Sensor (Transducer — Microphone)
Signal processing frequency Data refresh: ~2 s; Sampling rate: up to 48,000 Hz; Continuous signal processing (real-time AI processing)
Working Hours Continuous 24/7 (round-the-clock monitoring)
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