Women’s Security and Smart Surveillance

Women’s Security and Smart Surveillance

Mhaske Pragati Sambhaji , Patil Sakshi Balraje , Sable Aishwarya Ramhari , Sawant Dipali Bhagwat
Guide’s: Dinesh Bhagwan Hanchate , Swati Amol Kadam

Department of Computer Engineering, DattaKala Group Of Institution Faculty Of Engineering, Bhigwan-413130, University of Pune, Maharashtra, INDIA.

Abstract
In a time where women's safety is concerned, there is this recommendation of having a total system of security for women with a deep learning technique, helping increase hazard detection and personal protection that uses powerful algorithms of computer vision along with machine learning models suggested system monitors the identification of a threat in real-time the primary constituents of this system are the facial recognition which identifies the known threats, the object detection that recognizes the suspicious activity, an alarm mechanism alerting authorities or emergency contact in case there is any potential hazard scanned the deep learning framework helps it learn through big data; this is how its accuracy and adaptability come along with several situations and more importantly user- friendly interface of access in order to enjoy safe features of location tracking and prime alerts.

Keywords : Women's Security, Facial recognition, Object detection, Location tracking, Deep learning