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Charlas - Carla Marcela Florida Román: Clasificación de violencia mediante análisis de audio...
Learn how machine learning and audio analysis can detect violence in real-time through gunshots, screams, and fighting sounds to enhance public safety and emergency response.
- Research focuses on developing an audio-based violence detection system using machine learning and audio processing
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System aims to identify various types of violence-related sounds including:
- Gunshots
- Breaking glass
- Screaming
- Crying
- Fighting/disturbances
- Project faced challenges with limited open datasets for violence-related audio
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Audio data was collected from multiple sources including:
- YouTube videos
- Police recordings
- Public sound databases like FreeSound
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Technical implementation includes:
- 2-second audio segment analysis
- Conversion of audio to spectrograms
- Both audio and text analysis components
- Real-time monitoring capabilities
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System designed to:
- Detect violent incidents in real-time
- Send alerts when violence is detected
- Help law enforcement respond faster
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Potential applications include:
- Urban security systems
- Domestic violence prevention
- Public safety monitoring
- Law enforcement response optimization
- Project demonstrated successful violence detection in test environments with specific audio markers