Intelligence Surveillance System Using Machine Learning

Intelligence Surveillance System Using Machine Learning

Authors:

Suyash Bajpai , Rahul Kumar , Saurabh Vashistha

Guide Prof.  Badal Bhushan

Assistant Professor, Department Of CSE

Department Of Computer Science and Engineering

IIMT College Of Engineering

Abstract :

The improvement of vision-based artificial intelligence, the rise of the Internet of Things connected cameras, and the increasing common need for rapid security, the demand for exact real-time intelligent surveillance has never been higher. For a human it is very difficult to monitor surveillance videos continually, so a smart and intelligent system is essential that can do real time monitoring of all activities and can categories between usual and some unusual activities. This paper aims to transform the surveillance landscape, to bring more effective, intelligent, and equitable security to the field, resulting in safer and more protected communities without requiring people to compromise their right to privacy.

Keys—Surveillance, artificial intelligence, IOT, computer vision, application, real-world, real-time, edge,

Key Features of the system are:

•  Real-time monitoring.
•  Automatic threat detection
•  Behavior analysis
•  Integration with existing systems
•  With machine learning algorithm depend on condition call on emergency no. 112