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IoT Based Reconnaissance Framework for Utilizing Different Thresholding Algorithms for Detecting Motion by Using Raspberry Pi

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 601))

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Abstract

Communication is mainly the transfer of information or trading data so as the IOT is exchanging of anything with several things. A slight change in measuring the speed of an object is called motion. This paper is describing the relative study between various threshold techniques for motion identification to utilize the best suitable techniques between them using the Surveillance system and internet of things (IoT). The purpose to make a framework which can identify the movement, utilizing a PIR sensor. At whatever point the movement is recognized the picture is caught through raspberry pi, Pi-Camera. Afterward apply different types of threshold algorithm on the caught picture is send to the administrator by means of SMTP Server.

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Correspondence to Prachi Soni .

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Soni, P., Verma, S., Pandey, S. (2020). IoT Based Reconnaissance Framework for Utilizing Different Thresholding Algorithms for Detecting Motion by Using Raspberry Pi. In: Kumar, A., Paprzycki, M., Gunjan, V. (eds) ICDSMLA 2019. Lecture Notes in Electrical Engineering, vol 601. Springer, Singapore. https://doi.org/10.1007/978-981-15-1420-3_24

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