Futurewave Systems Inc.
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AI & Machine Learning for Underwater Acoustics

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OceanAI Call Identifier

The OceanAI Call Identifier is an advanced AI-driven annotation tool developed for CSI Inc. to assist marine biologists in identifying, classifying, and cataloging whale calls and other underwater sounds.

Key Features:

  • Manual & AI-Assisted Annotation – Biologists can label whale calls and create subclassifications
  • Machine Learning-Powered Recommendations – Offers real-time AI suggestions for future detections
  • Multi-Purpose Sound Analysis – Works with any underwater audio by extracting spectral features
  • Advanced DSP & Noise Reduction – Improves detection accuracy in noisy environments
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AquaGuard Detection System

AquaGuard is an in-situ AI-powered marine acoustic detection system developed specifically for hydrophone manufacturers to enable real-time classification of marine mammal calls directly at the source.

Key Features:

  • Real-Time Embedded Processing – Runs AI models directly at the hydrophone
  • Optimized for Embedded Systems – Deployed on Raspberry Pi for compact, low-power operation
  • Windows-Based GUI Application – Visualize detections and analyze real-time data
  • Autonomous Operation & Data Logging – Continuous recording and classification
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AquaSense Icon

AquaSense Detection System

AquaSense is an advanced AI-driven underwater acoustic detection and classification system developed for Ocean Networks Canada and presented to Transport Canada.

Key Features:

  • AI-Powered Marine Mammal Detection – Automatically identifies and classifies whale calls
  • DSP-Based Real-Time Processing – Instantaneous detection prevents marine mammal strikes
  • Adaptive Environmental Monitoring – Reliability across varying ocean conditions
  • Marine Traffic Integration – Incorporates AIS data with real-time DSP algorithms
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AquaVerify Validation Tool

AquaVerify is an advanced quality assurance and validation tool developed for CSI Inc. to refine and verify underwater sound annotations for machine learning applications.

Key Features:

  • Annotation Review & Refinement – Interactive spectrogram and audio playback for timestamp refinement
  • AI-Ready Data Selection – Ensures only clean, high-confidence data is used for AI model training
  • Improved Acoustic Classifier Performance – Enhances accuracy by eliminating mislabeled data
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Telecommunications & Advanced Wireless Systems

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TeleLink-OFDM Modem

TeleLink-OFDM is an advanced OFDM-based telemetry modem developed for Kongsberg, leveraging the Xilinx Zynq Ultrascale+ platform with PetaLinux.

Key Features:

  • OFDM-Based Telemetry – Robust, high-data-rate communication over challenging wireless channels
  • Adaptive Modulation & Fast Channel Recognition – Dynamically adjusts modulation scheme
  • High-Performance Implementation – Runs on Zynq Ultrascale+ with PetaLinux
  • Optimized for Harsh Environments – Resilient telemetry for mission-critical applications
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