wSafe24/7: Empowering Women's Personal Security Through Innovative Mobile and Wearable Technology

Literature Review

Artificial Intelligence (AI) has an essential part in this particular domain. OMDENA, a worldwide platform, collaborated with Safe city, an anonymous but trustworthy crowd mapping platform, for the purpose of predictive modeling. They utilized the Safe city dataset for Mumbai and Delhi in order to determine the likelihood factors of safety and potentially dangerous areas depending on the information provided by users in various situations. Various techniques of modeling were used to layer data including infrastructure like schools, colleges, hospitals, cinema theatres, public parks and surrounding areas to get a sense of what risk factors might be involved. Correlations, common patterns and trends that could indicate problematic locations were done using AI.

The main aim of the woman safety alert system is to provide an immediate way to contact for help such as nearby police stations or relatives or users in the proximity by sending alert messages and tracking the location. This application can also be enhanced in the future in the form of smart gadgets like jewelry, mobile phones, watches etc.

The existing systems for women safety are discussed in the following.

The main problem in police investigating cases of female abuse resides in limitations that prohibit them from responding promptly to distress signals. These limitations include not knowing the exact location of the crime and evidence of crime. To identify the location of any person in trouble the authors have designed a wearable gadget, which would send the location and photo of the user to selected emergency numbers stored in database (Vijaylashmi B., Renuka S., Pooja Chennur & Sharangowda, 2022)