AI – Based Integrated Women Safety System Real -Time Monitoring, Mobile Application and Physical Emergency Unit

Abstract - This AI-based Women's Safety System is a comprehensive, real-time solution integrating AI surveillance, mobile application, and IoT-enabled SOS hardware to enhance women’s security in both urban and rural areas. The AI surveillance module uses computer vision and machine learning to identify gender and detect suspicious behavior from live video feeds, triggering instant SOS alerts with location and video to nearby authorities. The mobile app enables users to store trusted contacts and send emergency messages via SMS and WhatsApp through a simple button press or shake gesture, sharing live GPS location. The hardware SOS device, installed in public places, features a one-touch emergency button with GSM and GPS support, ensuring help is accessible even without a phone. By combining smart technology, predictive analytics, and real-time communication, the system aims to create a safe, responsive environment and empower women against potential threats. Key Words: GSM , GPS ,IoT-enabled SOS

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-05-17
DOI
https://doi.org/10.55041/ijsrem48217
Primary Topic
IoT and GPS-based Vehicle Safety Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI – Based Integrated Women Safety System Real -Time Monitoring, Mobile Application and Physical Emergency Unit

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
IoT and GPS-based Vehicle Safety Systems
article

AI – Based Integrated Women Safety System Real -Time Monitoring, Mobile Application and Physical Emergency Unit

article en

Abstract

Abstract - This AI-based Women's Safety System is a comprehensive, real-time solution integrating AI surveillance, mobile application, and IoT-enabled SOS hardware to enhance women’s security in both urban and rural areas. The AI surveillance module uses computer vision and machine learning to identify gender and detect suspicious behavior from live video feeds, triggering instant SOS alerts with location and video to nearby authorities. The mobile app enables users to store trusted contacts and send emergency messages via SMS and WhatsApp through a simple button press or shake gesture, sharing live GPS location. The hardware SOS device, installed in public places, features a one-touch emergency button with GSM and GPS support, ensuring help is accessible even without a phone. By combining smart technology, predictive analytics, and real-time communication, the system aims to create a safe, responsive environment and empower women against potential threats. Key Words: GSM , GPS ,IoT-enabled SOS

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(05)
Openalex Percentile: Top 90%
IoT and GPS-based Vehicle Safety Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.