engares/MoViNets-for-Violence-Detection-in-Live-Video-Streaming
Violence recognition in streaming video using Transfer Learning and MoViNets. The project leverages state-of-the-art deep learning techniques to create an efficient and accurate violence detection system.
This project helps security and operations teams automatically detect violence in live video streams. It takes a raw video feed as input and outputs real-time alerts or classifications when violent acts are identified. This is designed for security personnel, system integrators, or facility managers who need to monitor surveillance feeds efficiently, especially in environments with limited computing resources.
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Use this if you need an efficient, real-time solution for flagging violent incidents in video surveillance using devices like a Raspberry Pi.
Not ideal if you require a solution for detecting non-violent anomalies or specific actions beyond general violence.
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Jul 15, 2024
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