Project Overview

Mission

Develop a sophisticated acoustic analysis platform capable of real-time detection, localization, and classification of explosive events and security-related acoustic signatures using advanced signal processing and machine learning techniques.

Security Focus

Designed for defense and security applications requiring precise acoustic event detection with low false-positive rates, multi-channel directional analysis, and real-time processing capabilities.

Technology

Combines cutting-edge signal processing algorithms, YAMNet deep learning classification, GCC-PHAT direction finding, and cloud-scalable architecture for robust acoustic analysis.

Technical Architecture

Processing Pipeline

Audio Input
Multi-channel WAV
16kHz, 960ms blocks
DOA Processing
GCC-PHAT Algorithm
Azimuth Estimation
Sound Analysis
RMS/dB Calculation
Level Monitoring
Classification
YAMNet Model
Event Detection
Results
Real-time Analysis
Event Visualization

Core Processing Components

  • Direction of Arrival (DOA) Processor: Implements GCC-PHAT cross-correlation algorithm for precise azimuth estimation using optimized microphone pairs in circular array configuration.
  • Sound Level Processor: Real-time RMS and dB SPL analysis with silence detection, signal classification, and temporal statistics tracking.
  • Sound Classification Processor: YAMNet-based deep learning model for 521-class audio event classification with confidence scoring and temporal smoothing.
  • Analysis Engine: Orchestrates all processors, manages frame synchronization, and provides unified event detection with configurable triggers.

Technical Specifications

Audio Processing Parameters

Sample Rate 16 kHz
Frame Duration 960 ms
Frame Length 15,360 samples
Channels Up to 8 (UMA-8 array)
Frequency Range 100 Hz - 8 kHz
Azimuth Resolution 1° (360° coverage)

Performance Metrics

Processing Latency < 1 second
Classification Classes 521 (YAMNet)
Dynamic Range -80 dB to +20 dB SPL
Direction Accuracy ±5° (typical)
File Size Limit 100 MB (Azure)
Concurrent Users Scalable (Azure Functions)

Technology Stack

Backend Processing

Python

Core signal processing, NumPy/SciPy for mathematical operations, audio analysis algorithms

TensorFlow/YAMNet

Pre-trained YAMNet model for audio classification, TensorFlow Hub integration

Signal Processing

GCC-PHAT cross-correlation, FFT operations, digital filtering, temporal analysis

Azure Functions

Serverless computing platform, auto-scaling, HTTP triggers, managed infrastructure

Frontend Interface

React/TypeScript

Modern component-based UI, type-safe development, responsive design

Data Visualization

Real-time waveform display, interactive bar charts, compass visualization

Tailwind CSS

Utility-first styling, responsive grid layouts, professional dark theme

Lucide React

Modern icon library, consistent visual language, scalable vector graphics

Infrastructure & Security

Password Protection

Secure access control, localStorage authentication, restricted access

Azure Cloud

Serverless architecture, automatic scaling, global CDN, 99.9% uptime SLA

RESTful API

Clean HTTP endpoints, JSON responses, CORS support, error handling

Responsive Design

Mobile-first approach, touch-friendly controls, adaptive layouts

Key Features

Advanced Signal Processing

  • Precise Direction Finding: GCC-PHAT algorithm with optimized microphone pair selection for accurate azimuth estimation across 360° coverage.
  • Frequency Domain Filtering: Configurable bandpass filtering (100Hz-8kHz) optimized for acoustic event detection with noise suppression.
  • Real-time Level Analysis: Continuous RMS, peak, and crest factor monitoring with silence detection and signal type classification.

Machine Learning Classification

  • YAMNet Integration: Google's pre-trained audio classification model with 521 sound classes including explosions, gunshots, and security-relevant events.
  • Temporal Smoothing: Exponential smoothing and confidence tracking to reduce false positives and improve classification stability.
  • Event Triggers: Configurable confidence thresholds and event-specific triggers for automated alert generation.

User Interface & Experience

  • Interactive Visualization: Real-time waveform display with block markers, sound level bar charts, and directional compass interface.
  • Block-by-Block Navigation: Frame-accurate playback control with synchronized visualization of all analysis parameters.
  • Drag & Drop Upload: Intuitive file handling with format validation, progress tracking, and comprehensive error reporting.

Applications

Defense & Security

Perimeter monitoring, threat detection, acoustic surveillance, and explosive event classification for military and security installations.

Critical Infrastructure

Airport security, border control, facility monitoring, and automated alert systems for high-security environments.

Forensic Analysis

Post-incident audio analysis, event reconstruction, acoustic signature identification, and evidence processing for investigations.