GARUD : Gunshot Acoustic Recognition and Ubiquitous Detection
Overview
The Gunshot Detection and Localization System is designed to enhance the safety of military personnel by accurately detecting and localizing gunshots in real-time. This system utilizes a circular microphone array to capture audio, combined with advanced processing techniques for reliable detection and classification of gunshot sounds.
Features
- Real-Time Audio Processing: Captures and processes gunshot audio in real-time using a circular microphone array.
- FPGA-Based Functionality: Leverages Field-Programmable Gate Array (FPGA) technology for efficient sound processing and classification.
- Sound Classification and Localization: Accurately identifies gunshots and pinpoints their direction, providing critical situational awareness.
- Machine Learning Integration: Combines machine learning algorithms with beamforming techniques to achieve high detection accuracy.
- Visual Outputs and Alerts: Provides actionable intelligence through visual outputs and real-time alerts for personnel.
- Detailed Report Generation: Generates comprehensive reports using Generative AI for analysis and documentation.
