Iot Based Surveillance System Using Comparative Analysis of Different Threshold Algorithms for Motion Detection Using Raspberry PI

This paper is about the comparative study between different threshold algorithms for motion detection and the use of one of the best techniques in between them in the surveillance system using motion detection technique and internet of thing approach. IoT is used here to give more connectivity to the user by sending the detected data on the online server. The purpose of this paper is to introduce the home surveillance system with motion detection using internet of things approach and comparison of different threshold algorithms surveillance applications, both in indoor and outdoor areas. To achieve these goal three threshold algorithms has been tested on differential motion detection algorithms, by taking random scenes with different complex backgrounds and then the evaluation of all this algorithms has been done; this evaluation is pixel-based to determine the best combination.