RAKSHA - The Smart Security System

Abstract

Web-based technology has improved drastically in the past decade. As a result, security technology has become a major help to protect our daily life. In this project, we propose a robust security based on face recognition system with security for gas and fire. In particular, we develop this system to give access into a room for authenticated users and help us in the condition where there is LPG gas leak or fire catch. The classifier is trained by using a new adaptive learning method. The training data are initially collected from live images. The accuracy of the classifier is incrementally improved as the user starts using the system. A novel method has been introduced to improve the classifier model by human interaction and social media. By using a deep learning framework- TensorFlow, it will be easy to reuse the framework to adopt with many devices and applications. In addition to face Security system, we are going with Pin conformation, OTP and Finger print series.