The increasing concern for the safety of women in public places, therefore, demands intelligent safety solutions that must be calculated rather than reactive. This work is intended to build an intelligent based system that will provide real- time detection and prevention of threats. The proposed solution at present incorporates AI&ML, Convolutional Neural Network (CNN) and Computer Vision (CV) technologies for analysis of video feeds, identification of abnormal behaviours, and recognition of distress patterns. A notification system ensures immediate alerts to law enforcement and nearby individuals, while Safe Space Identification provides users with guidance to nearby safe locations based on their current position. The system is equipped with functions in multiple languages to improve accessibility to a wide spectrum of potential users and hotspot identification functions utilising historical data analysis to identify areas at high risk.

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Watchguard: Real Time Women Safety Detection System

  • Seema Srinivas,
  • B. C. Divakara,
  • C. R. Nagarathna,
  • G. Nandini,
  • M. Ramya,
  • R. B. Suchithra,
  • T. Suchithra

摘要

The increasing concern for the safety of women in public places, therefore, demands intelligent safety solutions that must be calculated rather than reactive. This work is intended to build an intelligent based system that will provide real- time detection and prevention of threats. The proposed solution at present incorporates AI&ML, Convolutional Neural Network (CNN) and Computer Vision (CV) technologies for analysis of video feeds, identification of abnormal behaviours, and recognition of distress patterns. A notification system ensures immediate alerts to law enforcement and nearby individuals, while Safe Space Identification provides users with guidance to nearby safe locations based on their current position. The system is equipped with functions in multiple languages to improve accessibility to a wide spectrum of potential users and hotspot identification functions utilising historical data analysis to identify areas at high risk.