DESIGN AND IMPLEMENTATION OF AN IOT-BASED REAL-TIME ALERT SYSTEM FOR WOMEN’S SAFETY

Abstract

The contributions of women to every society and culture are vital. Domestic violence, sexual harassment, unwanted touching, and rape are all types of sexual violence against women. With the IoT, people can solve a lot of problems and live better lives all at once. The community has developed IoT-based strategies to protect women. Much effort has gone into developing machine learning, smart technology, sensor, and Internet of Things (IoT) devices with the goal of making women's safety a priority. The majority of these women's safety devices contain integrated pressure and pulse-rate sensors, according to the findings. Women at risk can benefit from machine learning techniques such as hidden Markov models, decision trees, and logistic regression in order to prevent future issues. A large body of research suggests that the optimal course of action is to develop alarm delivery automation systems that are both more accurate and require less human intervention. The Internet of Things (IoT) safety products for women are systematically organized in this study according to the wearable, sensors, features, and technologies that make them work. There are challenges and concerns with the Internet of Things (IoT) that must be addressed, despite the fact that it can aid in women's safety. An approach to construction that prioritizes key components for women's Internet of Things safety devices is also proposed in this study.