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

Sonal Beniwal, Usha Saini, Puneet Garg, Rakesh Kumar Joon

Source Title: International Journal of E-Health and Medical Communications (IJEHMC)12(5)

ISSN: 1947-315X|EISSN: 1947-3168|EISBN13: 9781799867500|DOI: 10.4018/IJEHMC.20210901.oa6

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MLA

Beniwal, Sonal, et al. "Improving Performance During Camera Surveillance by Integration of Edge Detection in IoT System." IJEHMC vol.12, no.5 2021: pp.84-96. http://doi.org/10.4018/IJEHMC.20210901.oa6

APA

Beniwal, S., Saini, U., Garg, P., & Joon, R. K. (2021). Improving Performance During Camera Surveillance by Integration of Edge Detection in IoT System. International Journal of E-Health and Medical Communications (IJEHMC), 12(5), 84-96. http://doi.org/10.4018/IJEHMC.20210901.oa6

Chicago

Beniwal, Sonal, et al. "Improving Performance During Camera Surveillance by Integration of Edge Detection in IoT System," International Journal of E-Health and Medical Communications (IJEHMC) 12, no.5: 84-96. http://doi.org/10.4018/IJEHMC.20210901.oa6

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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.