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SpectrumHive delivers advanced sensing and AI-enabled solutions for radio spectrum analytics, wireless communications and drone sensing. Our products integrate RF, acoustic, video and intelligent processing technologies for flexible monitoring and multi-layer sensing applications

Spectrum Hive RF Sensing Unit

Spectrum Hive RF Sensing Unit
Specifications
  • Wideband radio spectrum monitoring using AI-based algorithm for drone sensing and other RF monitoring activities
  • Frequency bandwidth 680 MHz – 8 GHz (possibility to extend bandwidth)
  • Multiple concomitants radio channel monitored with AI-based integration
  • Multi stream monitoring with AI processing capabilities
  • 99.9% detection accuracy with reduced false positives AI fusion layer integration
  • Integration of directional type of antennas depending on installation terrain
  • Scalability integration in command-and-control center
  • Up to 400 MHz instantaneous bandwidth per channel
  • Up to 500 MS/s sample rate
  • High-performance Xilinx Zynq UltraScale+ RFSoC FPGA multi FFT processing capabilities
  • Integrated high-speed digital signal processing
  • Simultaneous multi-channel radio signal acquisition
  • FPGA-based real-time signal processing
  • 100 GbE connectivity for high-rate streaming
  • Support for high-throughput continuous RF acquisition
Functionalities
  • Multi-directional RF spectrum monitoring
  • Flexible AI framework with on site training capabilities and adaptation on the field to new technologies
  • Advanced radio channel analytics
  • Simultaneous monitoring of multiple surveillance sectors
  • Real-time RF signal detection
  • AI-based RF signal classification
  • Continuous spectrum analysis
  • Detection of intermittent and frequency-varying RF activity
  • Multi-channel RF signal acquisition
  • Multi-channel event correlation and RF event generation and logging
  • Spectrogram recording and storage
  • RF dataset generation for AI training and validation train on the go
  • Configurable monitoring of different RF frequency bands
  • Real-time visualization of RF activity
  • Detection result storage and reporting
  • Integration with central AI processing
  • Synchronization with acoustic and video sensing subsystems
  • Support for multi-sensor data fusion

Spectrum Hive Embedded RF Sensing Unit

Spectrum Hive Embedded RF Sensing Unit
Specifications
  • Embedded RF monitoring integration with low energy consumption (battery powered integration possible)
  • Geographical distributed multiple sensors with advanced radio channel analytics
  • RF frequency coverage: 70 MHz – 6 GHz (possibility to extend bandwidth)
  • Up to 56 MHz instantaneous bandwidth per sensing unit
  • 99.9% detection accuracy with reduced false positives AI fusion layer integration
  • Full-duplex RF acquisition capability
  • Coherent dual-channel acquisition per SDR
  • NVIDIA Jetson embedded AI computing platform
  • GPU-accelerated signal processing and AI inference
  • CUDA / Tensor Core acceleration for parallel processing workloads
  • Edge-based FPGA FFT / STFT computation and spectrogram generation
  • Local signal preprocessing and feature extraction
  • Support for real-time AI model inference
  • Local data buffering and event recording
  • Network connectivity with the Central Processing & Command Unit
  • Compact architecture suitable for distributed field deployment
Functionalities
  • Distributed RF spectrum monitoring
  • Simultaneous acquisition from multiple RF channels
  • Real-time spectrum analysis with AI-based RF signal classification at the edge
  • Detection of intermittent and frequency-varying RF activity
  • RF feature extraction prior to central processing and local event generation and confidence scoring
  • Selective transmission of relevant RF events
  • Distributed RF dataset acquisition and remote node configuration and monitoring
  • Transmission of detection metadata to the central sensor-fusion platform

Spectrum Hive Acoustic Sensing Unit

Spectrum Hive Acoustic Sensing Unit
Specifications
  • High-gain directional acoustic arrays
  • NVIDIA Jetson embedded AI computing platform
  • GPU-accelerated signal processing and AI inference
  • CUDA / Tensor Core acceleration for parallel processing workloads
  • Very good detection accuracy (over 99%) with reduced false positives AI fusion layer integration depending on installation environment
  • Optimized for long-range acquisition of UAV acoustic signatures but configurable to other events
  • Passive sensing architecture
  • High sensitivity to low-level airborne acoustic sources
  • Suitable for multi-sector deployment
Functionalities
  • AI-based UAV acoustic detection and other acoustic events
  • Acoustic signature classification and temporal correlation of acoustic events with alarm functionalities
  • Confidence scoring and event validation
  • Centralized event storage and analytics and correlation with RF and video detections
  • Integration into the multi-sensor fusion pipeline
  • Continuous passive acoustic surveillance
  • Multi-directional acoustic coverage with real-time acoustic event detection capabilities
  • Cross-validation with RF and video sensing layers

Spectrum Hive Embedded Acoustic Sensing Unit

Spectrum Hive Embedded Acoustic Sensing Unit
Specifications
  • Broadcom BCM2711, Quad core Cortex-A72 (ARM v8) 64-bit SoC @ 1.8GHz with 8GB LPDDR4
  • Embedded design with battery power capabilities
  • Low-cost design
  • AI-lightweight integration for acoustic drone sensing
  • Continuous monitoring and field integration
  • Scalability to integrate a large number of sensor nodes distributed over a large geographic area
Functionalities
  • AI-based UAV acoustic detection and other acoustic events
  • Acoustic signature classification and temporal correlation of acoustic events

Spectrum Hive Optical Sensing Unit

Spectrum Hive Optical Sensing Unit
Specifications
  • Real-time AI-based UAV detection
  • High video stream processing capabilities
  • UAV visual classification
  • Automatic target tracking
  • Long-range visual target acquisition
  • Integration with existing surveillance video systems
  • Mass integration capabilities (over 600 video streams in high computing configuration)
Functionalities
  • Region-of-interest analysis with advanced analytics
  • Detection confidence evaluation
  • Real-time correlation with RF and acoustic detections
  • Continuous 360° visual surveillance
  • Day/night UAV monitoring
  • RF–Acoustic–Video event correlation
  • Multi-sensor target confirmation
Spectrum Hive Core Platform

Central Processing, Command & Control Unit

The Central Processing, Command & Control Unit represents the core of the SPECTRUM HIVE platform. It combines high-performance CPU and GPU computing with high-speed networking, centralized storage and a unified control interface to process RF, acoustic and video sensor data in real time. The unit performs AI inference, multi-sensor correlation, data fusion, event validation, target tracking and system-wide monitoring, while providing centralized control, recording, visualization and remote management of the complete sensing architecture.

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