Narayanan K Lakshmi, Krishnan R Santhana, Robinson Y Harold
Department of Electronics and Communication Engineering, Francis Xavier Engineering College, Tirunelveli, Tamilnadu India.
Department of Electronics and Communication Engineering, SCAD College of Engineering and Technology, Tirunelveli, Tamilnadu India.
Wirel Pers Commun. 2022;126(1):839-858. doi: 10.1007/s11277-022-09772-1. Epub 2022 Jun 8.
The greatest threat to the word in recent days is the spread of COVID 19 virus throughout the world. To tackle this problem government of India has implemented various restrictions to be followed to stop the spread of the COVID 19 virus. But most of the time general public forget their responsibilities and don't follow these restrictions, especially in situations like when their favourite hero's movie releases in the theatre, and in spending time in hotels, malls and in other entertainment places in spite of governments occupancy restrictions in those places. In order to address this problem we propose an IoT based Smart System for monitoring the occupancy in such entertainment spots and screen the public entry if they dint follow the protocols such as if they dint wear mask or if they have body temperature. This proposed system is implemented on a Raspberry Pi 3B+ processor which runs on a Broadcom processor. For monitoring the occupancy and screen the visitors for mask, we use a Passive Infrared Sensors and Pi camera to count the person entering into the premises. And we use a MLX90614 Infrared temperature sensor for screening the public entry with high temperature. The complete system is implemented using python programming and the details will be uploaded to cloud, authorities can monitor this from a remote place so that the spread of COVID 19 can be restricted in pubic entertainment spots.
近期,世界面临的最大威胁是新冠病毒在全球的传播。为应对这一问题,印度政府实施了各种限制措施以阻止新冠病毒的传播。但大多数时候,普通民众忘记了自己的责任,不遵守这些限制,尤其是在他们最喜欢的英雄主演的电影在影院上映时,以及不顾政府对酒店、商场和其他娱乐场所的入住限制,仍在这些地方消费娱乐。为了解决这个问题,我们提出了一种基于物联网的智能系统,用于监测此类娱乐场所的 occupancy(此处原文有误,推测为“occupancy”,意为“ occupancy(此处原文有误,推测为“occupancy”,意为“占用情况”),并在公众不遵守诸如不戴口罩或体温异常等规定时,对其进入进行筛查。该提议系统在运行于博通处理器的树莓派3B + 处理器上实现。为了监测占用情况并对访客进行口罩筛查,我们使用被动红外传感器和树莓派摄像头来统计进入场所的人数。并且我们使用MLX90614红外温度传感器来筛查体温过高的公众进入。整个系统使用Python编程实现,细节将上传至云端,当局可以从远程位置进行监控,以便在公共娱乐场所限制新冠病毒的传播。