International Journal of Science, Engineering and TechnologyAuthors: Associate Professor Dr. M. J. Salunkhe, Prajyot Patil, Prathamesh Sawant, Akshay Kumar Powar, Harshada Patil, Pratik Chavan
Abstract: Women’s safety is a major concern, especially in crowded public places. This project introduces a smart surveillance system that uses Artificial Intelligence (AI) to help detect potentially unsafe situations for women in real time. The system uses a camera feed and combines object detection (to find people in the frame) with a gender classification model (to identify if a person is male or female). It then checks if a female is surrounded by four or more males. If such a situation is found, the system draws a red box around the female and triggers an alert to notify authorities or take action. This tool can be used in public places like colleges, bus stations, parks, or offices to monitor surroundings and act early to prevent possible threats. By using technologies like computer vision and deep learning, the system helps improve safety and provide faster responses in risky situations. By combining computer vision, deep learning, and real-time analysis, this project offers a proactive tool for improving public safety. The solution can be deployed in universities, transport hubs, workplaces, and other sensitive areas, enhancing monitoring capabilities and supporting preventive action against potential harassment or assault scenarios.
DOI: 10.61463/ijset.vol.13.issue3.180
