Machine Learning in Automated Intelligent Surveillance System

Abstract

One of the topics which is gaining popularity is home automation system because of its in numerous advantages. Smart home concept has been around for many years and played an important part in designing and implementation of future houses. Early researches focus on the control of home appliances but current trends are moving into a creation of self-thinking home. In the recent years many researchers’ projects were performed utilizing the artificial intelligence tools and techniques. It is found that combination of the tools and techniques are crucial for successful implementation. This technique involves analysing the user performed actions history and apply mathematical methods to predict the most feasible next user action prediction based on self iteration machine learning algorithm. This article provides platform for future relative’s studies between different algorithms, architecture and servers as a reference point for developing more cutting edges in smart home technologies.

Keywords: action prediction, home automation, machine learning, self-iterative algorithm