Improving Performance During Camera Surveillance by Integration of Edge Detection in IoT System

This paper is proposing an IoT-based camera surveillance system. The objective of research to detect suspicious activities by automatically and take decision comparing current frame previous frame. Major motivation behind work enhance the performance system integration edge detection mechanism. Research making use numerous cameras, canny detection-based compression module, picture database, comparator. Canny has been used minimize size graphical content enhancing Simulation output this made in MATLAB simulation tool. Moreover, give comparative analysis among traditional Such requires less space, it takes time inform regarding any activities.