1Assistant Professor, Department of Electronics and Communication Engineering, Teegala Krishna Reddy Engineering College, India
2UG Scholar Student, Department of Electronics and Communication Engineering, Teegala Krishna Reddy Engineering College, India
3UG Scholar Student, Department of Electronics and Communication Engineering, Teegala Krishna Reddy Engineering College, India
4UG Scholar Student, Department of Electronics and Communication Engineering, Teegala Krishna Reddy Engineering College, India
5UG Scholar Student, Department of Electronics and Communication Engineering, Teegala Krishna Reddy Engineering College, India
*Corresponding Author: renubabum@tkrec.ac.in
Online published on 13 July, 2021.
India's greatest threat is the safety of its women. Women do not feel safe in a variety of situations. This needs to be addressed as quickly as feasible. Technology evolves and develops on a daily basis, affecting how people live. As a result, the focus of this article is on modernising the technological framework in order to strengthen women's safety mechanisms. We introduce a new security method in this study to protect women during unusual behaviours. A new security technique based on a patrolling robot using the Raspberry Pi has been proposed. In this case, a night vision camera can be employed to secure any location. Various machine learning methods are applied to improve the classifier's accuracy. The findings suggest that the suggested method outperforms existing methods.
IOT, Night Vision Camera, Raspberry pi, Sensors, Women Safety
