Joyce Xin, Y. Lim, Nursyameera Athirah Aziz, Nur Farra, Aisyah Nafrizam, Yvonne Liang, Liang Wong, Asem Ubaidur Rahman, Y. Hau
{"title":"基于微控制器嵌入式系统的新型冠状病毒疫情客户控制辅助装置","authors":"Joyce Xin, Y. Lim, Nursyameera Athirah Aziz, Nur Farra, Aisyah Nafrizam, Yvonne Liang, Liang Wong, Asem Ubaidur Rahman, Y. Hau","doi":"10.11113/humentech.v2n2.59","DOIUrl":null,"url":null,"abstract":"The study discusses the impact of COVID-19 in our daily lives and how social distancing is an effective method to prevent the spread of the virus. The paper highlights the importance of maintaining social distancing in crowded areas such as retail shops, which are at high risk of COVID-19 spread. To ensure social distancing, retail shops usually hire an employee to limit the number of customers in the shop. However, hiring a human employee during the pandemic comes with many disadvantages as the employee is at high risk of getting infected with the virus. To address this issue, the study developed a customer control assistive device based on automatic voltage regulator (AVR) microcontroller-based embedded system designed to help detect the number of people entering a particular area while minimizing the use of manual assistance. This device consisted of infrared sensors to detect the head count who enter or exit from a premises, as well as auto hand sanitizer system based on sensor and micro servo motor before a visitor enters the premises. With this assistive device, retailers now can set the total number of customers allowed to enter their shop by simply key in the total number of customers allowed to enter. This feature helps retailers to ensure that the number of customers is always within safe ranges automatically to maintain social distancing.","PeriodicalId":168265,"journal":{"name":"Journal of Human Centered Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Customer Control Assistive Device Based on Microcontroller-based Embedded System for COVID-19 Pandemic\",\"authors\":\"Joyce Xin, Y. Lim, Nursyameera Athirah Aziz, Nur Farra, Aisyah Nafrizam, Yvonne Liang, Liang Wong, Asem Ubaidur Rahman, Y. Hau\",\"doi\":\"10.11113/humentech.v2n2.59\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study discusses the impact of COVID-19 in our daily lives and how social distancing is an effective method to prevent the spread of the virus. The paper highlights the importance of maintaining social distancing in crowded areas such as retail shops, which are at high risk of COVID-19 spread. To ensure social distancing, retail shops usually hire an employee to limit the number of customers in the shop. However, hiring a human employee during the pandemic comes with many disadvantages as the employee is at high risk of getting infected with the virus. To address this issue, the study developed a customer control assistive device based on automatic voltage regulator (AVR) microcontroller-based embedded system designed to help detect the number of people entering a particular area while minimizing the use of manual assistance. This device consisted of infrared sensors to detect the head count who enter or exit from a premises, as well as auto hand sanitizer system based on sensor and micro servo motor before a visitor enters the premises. With this assistive device, retailers now can set the total number of customers allowed to enter their shop by simply key in the total number of customers allowed to enter. This feature helps retailers to ensure that the number of customers is always within safe ranges automatically to maintain social distancing.\",\"PeriodicalId\":168265,\"journal\":{\"name\":\"Journal of Human Centered Technology\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Human Centered Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11113/humentech.v2n2.59\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Human Centered Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11113/humentech.v2n2.59","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Customer Control Assistive Device Based on Microcontroller-based Embedded System for COVID-19 Pandemic
The study discusses the impact of COVID-19 in our daily lives and how social distancing is an effective method to prevent the spread of the virus. The paper highlights the importance of maintaining social distancing in crowded areas such as retail shops, which are at high risk of COVID-19 spread. To ensure social distancing, retail shops usually hire an employee to limit the number of customers in the shop. However, hiring a human employee during the pandemic comes with many disadvantages as the employee is at high risk of getting infected with the virus. To address this issue, the study developed a customer control assistive device based on automatic voltage regulator (AVR) microcontroller-based embedded system designed to help detect the number of people entering a particular area while minimizing the use of manual assistance. This device consisted of infrared sensors to detect the head count who enter or exit from a premises, as well as auto hand sanitizer system based on sensor and micro servo motor before a visitor enters the premises. With this assistive device, retailers now can set the total number of customers allowed to enter their shop by simply key in the total number of customers allowed to enter. This feature helps retailers to ensure that the number of customers is always within safe ranges automatically to maintain social distancing.