DL Based Human Assault Detector

  • Priyanka V Gudada Department of Masters of Computer Applications RajaRajeswari College of Engineering
  • Shraddha S Department of Masters of Computer Applications RajaRajeswari College of Engineering
Keywords: Machine Learning, Deep Learning, YOLO, Proximity.


DL based Human Assault Detector is an advanced security setup that applies deep and machine learning ct and prevent potential assaults. The system incorporates multiple features, including face expression detection, body motion tracking, and proximity alert, to provide real-time monitoring and alerts for potential threats.The face expression detection feature analyzes people’s facial expressions and alerts security personnel if any suspicious behavior is detected. The body motion tracking feature uses motion sensors to track people’s movements and identify any abnormal or potentially threatening behavior.In addition, the proximity alert feature uses YOLO technology to monitor the distance between individuals and alert security personnel if people are getting too close to each other. This module is used to detect and prevent physical altercations and assaults in crowded public spaces or workplaces.DL based Human Assault Detector is a versatile system that can be customized to suit a variety of settings, including public spaces, workplaces, and educational institutions. it provides a comprehensive approach to security that is much efficient than legacy systems that rely on a single type of sensor.Overall, DL based Human Assault Detector is an innovative and powerful security setup that uses deep and machine learning technology to detect and prevent potential assaults. Its multi-sensor approach makes it a valuable tool for enhancing security and ensuring the safety of individuals in a wide range of settings.

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