Women Safety System Using AI Techniques

Abstract: Women’s safety has become a significant social concern due to the increasing number of crimes and emergency situations affecting women in public and private environments. Recent advancements in Artificial Intelligence (AI), the Internet of Things (IoT), Edge AI, wearable devices, and mobile computing have enabled the development of intelligent safety systems capable of providing rapid detection, monitoring, and emergency assistance. This survey presents a comprehensive review of thirteen recent research works that focus on AI-driven women safety technologies, including smart wearable devices, audio-based distress detection, sound anomaly recognition, offline emergency response frameworks, intelligent mobile applications, secure communication systems, health monitoring devices, safe route navigation, and Edge AI-based surveillance systems.This survey analyzes the objectives, methodologies, system architectures, advantages, and limitations of the selected studies and provides a comparative understanding of current AI- based women safety solutions. The analysis identifies existing research gaps, including challenges related to detection accuracy, scalability, false alarm reduction, privacy protection, and integration of multiple safety features into a unified platform. The survey highlights recent technological advancements and offers valuable insights into the development of intelligent, reliable, and user-centric women safety systems using Artificial Intelligence.

Keywords: Women Safety, Artificial Intelligence (AI), Internet of Things (IoT), Edge AI, Smart Wearable Devices, Audio Recognition, Sound Anomaly Detection, Distress Detection, Emergency Response System, GPS Tracking, Health Monitoring, Safe Route Navigation, Machine Learning.