Real-Time

Ambush Detection System

The Real-Time Ambush Detection system is designed to enhance security and prevent ambush attacks by analyzing real-time audio data from microphones. Using advanced signal processing and deep neural networks (DNN), the system detects human activities such as footsteps, whispering, and other subtle sounds, providing situational awareness and proactive threat detection.

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How it works

The system captures and processes real-time audio data using advanced signal processing to enhance quality and extract features. Deep neural networks then analyze and classify sounds, detecting human presence and generating real-time alerts.

Data Acquisition

The system captures audio data from microphones, monitoring the environment for threats.

Preprocessing

Audio is preprocessed to enhance quality and reduce noise for better analysis.

Feature Extraction

Signal processing extracts audio features from data, focusing on characteristics of human activity.

Detection

DNN models analyze features to identify sounds that signify human presence, like footsteps or whispers.

Classification

The system classifies sounds into categories like speech and noise, enhancing audio understanding.

Decision Making and Reporting

The system analyzes classified sounds to assess threats, generate real-time alerts, and enhance AI accuracy.

Detection

DNN models analyze features to identify sounds that signify human presence, like footsteps or whispers.

Classification

The system classifies sounds into categories like speech and noise, enhancing audio understanding.

Decision Making and Reporting

The system analyzes classified sounds to assess threats, generate real-time alerts, and enhance AI accuracy.

Key features

Audio Detection: Identifies subtle human sounds.

Accurate detection under various conditions.

Real-Time Processing: Provides immediate alerts and analysis.

Compatible with various security systems.

Technical Skills

  • Advanced Signal Processing
  • Deep Neural Networks (DNN)
  • Computer Vision and Image Processing
  • Edge Devices
  • Frameworks: TensorFlow, PyTorch
  • Embedded Systems

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Baner, Pune 411045, Maharashtra

info@syncthreads.in

+91 738 733 3297