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Violence Detection in Video Files: Training AI to detect human-centric emotional responses

DEV Community·Firmin Alexander·17 days ago
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Can a machine distinguish between a high-five and a physical altercation? We brought this question to The R&D Lab to experiment on which resulted in a functional Computer Vision prototype. Executive Summary / Abstract This project leverages AWS SageMaker to develop and train machine learning models capable of detecting violent activity within video content. With the increasing prevalence of user-generated media and live-streamed content, there is a growing need for automated systems that can identify harmful behavior in real time. By using SageMaker’s managed infrastructure, the project streamlines the training and deployment of deep learning models at scale, enabling rapid experimentation and iteration on large video datasets. The system processes video files by extracting key frames and motion patterns, which are then used to train convolutional and recurrent neural networks optimized for action recognition.…

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