Protecting Women from possible safety threats

Protecting Women from possible safety threats

An advanced AI-driven solution focused on enhancing women's safety by analyzing real-time CCTV footage. Our model leverages cutting-edge machine learning techniques to detect potential threats, assess

Created on 26th October 2024

Protecting Women from possible safety threats

Protecting Women from possible safety threats

An advanced AI-driven solution focused on enhancing women's safety by analyzing real-time CCTV footage. Our model leverages cutting-edge machine learning techniques to detect potential threats, assess

The problem Protecting Women from possible safety threats solves

  1. Real-Time Threat Detection
    Instantly identifies suspicious behavior or potential threats in public and private spaces, such as parks, streets, and public transport stations, by analyzing live CCTV footage.
    2.Proactive Safety Alerts
    Automatically sends alerts to security personnel or relevant authorities when it detects risky situations, allowing for quicker response times and preventative action.
    3.Enhanced Security Monitoring
    Complements existing security systems by automating monitoring tasks, reducing human error, and helping security teams focus on responding to actual incidents rather than constant manual surveillance.
  2. Creating Safer Spaces
    Designed to foster safer environments, particularly in high-risk areas, by providing additional layers of security through continuous, AI-powered vigilance.
  3. Data-Driven Insights for Safer Infrastructure
    Generates anonymized data on frequently detected safety issues, helping city planners and organizations make data-driven decisions to improve overall infrastructure safety.
    This AI model transforms traditional surveillance, making security both more efficient and proactive while contributing to safer spaces for women.

Challenges we ran into

we were struggling with gender detection earlier due to low quality of the cctv or due to any obstructions caused.

Discussion

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