Real Time Monitoring System for Women’s Privacy Protection in Gender Sensitive Zones

Abstract

This project presents a Real-Time Monitoring System aimed at enhancing women’s privacy and security in gender-sensitive areas, such as female-only restrooms, changing rooms, and similar spaces. The system integrates computer vision and deep learning techniques to detect unauthorized male entry and trigger immediate alerts. Using Raspberry Pi with a Webcam, real-time video frames are processed to identify gender through a lightweight Deep Learning model. Upon detecting an unauthorized male presence, an automated notification system sends alerts to security personnel. The solution offers scalability, low-cost implementation, and easy integration with existing security infrastructures. Our approach ensures enhanced privacy and security while maintaining operational efficiency.