A computer vision application designed to detect fights or violent actions in video footage. Uses deep learning action recognition to identify physical conflicts or aggressive behaviors in surveillance or general video. Achieves 97.5% confidence in violence detection. Suitable for security monitoring, public safety, and surveillance systems.
The system leverages state-of-the-art action recognition models trained on violence detection datasets to provide real-time alerts when aggressive behavior is detected. It can be integrated with existing surveillance infrastructure and supports multi-camera deployments for comprehensive coverage of monitored areas.
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