Real-Time Crowd Crime and Violence Detection Using Deep Learning-Based Face Recognition and Object Detection

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The real-time automated surveillance system enhances public safety by identifying violent behavior quickly.
The technology integrates YOLOv8 for fast object detection and facial recognition with high accuracy.
Data is processed from live video feeds using deep learning models for quick recognition of suspicious activities.
The system includes alert mechanisms for immediate notification, enabling faster response times for security personnel.

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Automated system detects crowd crime and violence, enhancing public safety in crowded areas.

Fatima et al. (2025) studied this question.

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