IoT Based Smart Mirror Using Raspberry Pi 4 and YOLO Algorithm: A Novel Framework for Interactive Display

Abstract

Objectives: The primary goal of this device is to support the user in a variety of ways, and by enabling communication between the user and the gadget,we can demonstrate the user’s control over the location where the device will be Built and set up the home environment for the human detectionusing You Only Look Once (YOLO) algorithm. Methods: The technology is made to show the current news, weather, and temperature on the mirror.The technology is primarily intended to be used as an intrusion detection system and for human monitoring. The YOLO algorithm is used to find the object in the given image. The suggested design is envisioned as a collection of components that can be utilized to provide security as well as simply display information on a screen. The system is created utilizing Python programmingand hardware components such as the Raspberry Pi 4 model, a microphone, a touch screen, a mobile device, a camera, and passive infrared (PIR) sensors.Findings: This study provides thorough information regarding the operation of a smart mirror, which enables us to perform all necessary actions or tasks that we perform regularly and to complete them in a predetermined amount of time. Since the research is primarily intended for intrusion detection, we canalso get the most out of it by using it in a specific manner. We would use it to monitor children’s whereabouts. Novelty: This technology has a high economic value because it has so many uses and tends to help users with daily tasks. And because it is created using machine learning language and has room for artificial intelligence, even the user who uses it can add some of his remainders to the device, and it can also alert a user in the designated remainder time so that person won’t miss their important meeting. As a result, this device ismore valuable, useful, and collectively beneficial. This technology will produce a finished product with the highest level of accuracy and precision.