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, Saylee Begampure
Published in IEEE

The crime rate is increasing at a high rate in India. Terrorist attacks like Mumbai 26/11, Pulwama attack, Pune German Beckary attacks have created terrific fear amongst Indian Society. Video analytics plays a significant role in detecting and predicting such suspicious human activities using deep learning models It will help in reducing the increasing crime rate by preventing treacherous actions. Video analytics analyzes the video content and adds brains to eyes i.e. analytics to the camera. It extracts contents from the video by monitoring the video in real-time. There is a huge advancement in human action recognitions and prediction-related research but still, state of art algorithms needs improvement in classifying it. The main objective here is to create a dataset for Indian scenarios for different crime actions like Fighting, Abuse, Arrest, Arson & Burglary. It can then be used to train a deep learning model to detect and predict criminal actions reducing terrorism in India.

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Open AccessYes