Abstract
This paper is proposing an IoT-based camera surveillance system. The objective of research is to detect suspicious activities by camera automatically and take decision by comparing current frame to previous frame. Major motivation behind research work is to enhance the performance of IoT-based system by integration of edge detection mechanism. Research is making use of numerous cameras, canny edge detection-based compression module, picture database, picture comparator. Canny edge detection has been used to minimize size of graphical content to enhancing the performance system. Simulation of output of this work is made in MATLAB simulation tool. Moreover, MATLAB has been used to give comparative analysis among IoT-based camera surveillance system and traditional system. Such system requires less space, and it takes less time to inform regarding any suspicious activities.
Highlights
At present, IOT (Gubbi et al, 2013) is a hot cake for tech-savvy people and its applications are continuously in demand
Major motivation behind research work is to enhance the performance of IoT-based system by integration of edge detection mechanism
The compulsory standards about canny edge detection are described below: 1. Highest Precision: It is very essential that no edge will remain undetected and there should be no response for non-edge
Summary
IOT (Gubbi et al, 2013) is a hot cake for tech-savvy people and its applications are continuously in demand. IoT (Iqbal et al, 2017) saves a lot of time It happens because with the help of this technology user manages their household appliances without any delay. When the technology of the internet of things is used for Home Automation it provides several benefits which are explained below: 1.1 Excellent Functioning of Equipment The user interference is not a requirement in houses where the internet of things equipment has been used. This equipment provides a very high level of performance.
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