COVID bell – A smart doorbell solution for prevention of COVID-19
Author:
Gudipalli Abhishek1, Kejriwal Vaibhav2, Patel Vaishnavi2, Gupta Riddhi2, Dixit Utkarsh2
Affiliation:
1. School of Electrical Engineering, Vellore Institute of Technology , Vellore , Tamil Nadu , India 2. School of Electronics Engineering, Vellore Institute of Technology , Vellore , Tamil Nadu , India
Abstract
Abstract
The article introduces a novel strategy for efficiently mitigating COVID-19 distribution at the local level due to contact with any surfaces. Our project aims to be a critical safety shield for the general people in the fight against the epidemic. An ultrasonic sensor is integrated with the automated doorbell system to ring the doorbell with a hand motion. A temperature sensor Mlx90614 is also included in the system, which records the temperature of the person standing in front of the door. The device also includes a camera module that captures the image of the person standing at the front entrance. The captured image is processed through an ML model which runs at over 30 fps to detect whether or not the person is wearing a mask. The image and the temperature of the person standing outside are sent to the owner through the configured iOS application. If the person outside is wearing a mask, one can open the door through the app itself and permit the entry of the person standing outside thereby integrating the edge device with an app for a better user experience. The system helps in reducing physical contact, and the results obtained are at par with the already existing solutions and provide a few advantages over them.
Publisher
Walter de Gruyter GmbH
Subject
Behavioral Neuroscience,Artificial Intelligence,Cognitive Neuroscience,Developmental Neuroscience,Human-Computer Interaction
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