Affiliation:
1. Pragati Engineering College, India
Abstract
Women's safety is a crucial and urgent social issue that focuses on preserving the physical, emotional, and psychological well-being of women in a variety of contexts, including public places, workplaces, residences, and online surroundings. Women may find themselves in dangerous situations due to a lack of awareness and education. This chapter assures the safety of women in public places by identifying potential attackers with acids, machine guns, and chloroform materials nearby using AI wearable technology. It also includes the deep learning model Mirasys VMS to identify the alone women or women in distress. By allowing women to communicate with trusted contacts, wearable technology might provide them with a sense of security. By giving women new means to defend themselves and get assistance in an emergency, wearable technology has emerged as a promising tool for improving women's safety. Women can avoid difficult circumstances by being adequately informed about wearable technology and its use.
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