Intelligence Surveillance System Using Machine Learning

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,