Real Time Violence Detection System Using Deep Learning

• Author(s):

  Samarth Salvi | Yash Chaubal | Manikanta Manchala | Viraj Yadav | Prof. Ninad Gaikwad

• Keywords:

  Automated Surveillance, Violence Detection, AI And Machine Learning, Public Safety

• Abstract:

  The Growing Need For Public Safety Has Driven Demand For Automated Surveillance Systems That Detect Violent And Suspicious Behaviors In Real-time. Critical Locations Like Train Stations, Schools, And Hospitals Benefit From Systems That Can Quickly Identify Aggressive Actions, Helping Prevent Potential Casualties And Reduce Social And Economic Harm. This Paper Reviews Various Violence Detection Techniques In Surveillance Videos, With A Focus On AI, Machine Learning, And Deep Learning Methods. Special Attention Is Given To Detecting Both General And Weaponized Violence In CCTV Footage. By Automating Violence Recognition, These Systems Enhance Public Safety, Reduce Human Oversight, And Provide Timely Interventions. The Survey Highlights Recent Advancements In AI-based Violence Detection And Its Application In Industry To Improve Societal Security.

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Other Details

• Paper id:

  IJSARTV11I3102950

• Published in:

  Volume: 11 Issue: 3 March 2025

• Publication Date:

  2025-03-30

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