Motion Detection and Face Recognition using Raspberry Pi, as a Part of, the Internet of Things

Abstract

Face recognition and motion detection are described in the context of the construction of a system of intelligent solutions, for use in the home, that can be used as a single free standing functional unit or as an element of a bigger system, connected to the Internet of Things. To create a complex system, a micro PC, Raspberry Pi 3, was used together with an application capable of recognizing faces and detecting motion. The outputs are saved into cloud storage, for further processing or archiving. The monitoring system, as designed, can be used autonomously; with the use of a battery and a solar panel, it is possible to place it anywhere. Furthermore, it could be used in various fields, such as health care, for the real-time monitoring of patients, or in the tracking of the spatial activity of people and/or animals. Thus, the system created, may be regarded as a part of the IoT.

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“…Intrinsic matrix depends on camera internal parameters such as focal length (f), principal point (cx, cy), pixel width (sx) and pixel height (sy). The intrinsic matrix, M, of a camera is given in equation (1).…”

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