Prajwal Gujarkar, Sarthak Lonkar, T. Jain, Shubham Nigal, Pramod Patil, Pallavi Deshpande, Ketki P. Kshirsagar, Shraddha K. Habbu, Gauri Ghule, A. Ratnaparkhi
{"title":"基于物联网的智能考勤系统","authors":"Prajwal Gujarkar, Sarthak Lonkar, T. Jain, Shubham Nigal, Pramod Patil, Pallavi Deshpande, Ketki P. Kshirsagar, Shraddha K. Habbu, Gauri Ghule, A. Ratnaparkhi","doi":"10.1109/ESCI56872.2023.10099839","DOIUrl":null,"url":null,"abstract":"Nowadays, as attendance is taken using the tra-ditional pen and paper method, it increases the workload for employees and employers. This increases the cost of maintaining records and will also increase the manipulation in the system. So, there is a dire need of proper attendance management system. As it will help in Accurate tracking, increase productivity and reduces time for marking attendance. As the world around us becomes more modern, organizations are adopting more advanced methods for managing attendance and recording. But there are still some organizations that are using traditional methods for maintaining attendance records. A smart loT-based attendance system can improve the effectiveness of work in the industry. The purpose of this study is to design a system that would be used for fingerprint attendance. This system consists of ESP 8266, R307 Fingerprint Sensor and OLED Display. The ESP8266 WiFi module will collect fingerprint data from multiple users and send it over the internet. The experimental study showed the designed system has a high level of efficiency and 99.9% accuracy. The designed system completed attendance in 7.86 seconds on average, which is quicker than many other systems in use. The outcome also demonstrates a trustworthy, well-secured system that can prevent impersonation. Novelty In our system is that we have allow access to attendance records from anywhere, and provide real-time data to the management. We have also used biometric technology which allows for a more accurate and secure way to track attendance, as it uses unique physical characteristics of an individual to identify them.","PeriodicalId":441215,"journal":{"name":"2023 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"IoT based Smart Attendance System\",\"authors\":\"Prajwal Gujarkar, Sarthak Lonkar, T. Jain, Shubham Nigal, Pramod Patil, Pallavi Deshpande, Ketki P. Kshirsagar, Shraddha K. Habbu, Gauri Ghule, A. Ratnaparkhi\",\"doi\":\"10.1109/ESCI56872.2023.10099839\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, as attendance is taken using the tra-ditional pen and paper method, it increases the workload for employees and employers. This increases the cost of maintaining records and will also increase the manipulation in the system. So, there is a dire need of proper attendance management system. As it will help in Accurate tracking, increase productivity and reduces time for marking attendance. As the world around us becomes more modern, organizations are adopting more advanced methods for managing attendance and recording. But there are still some organizations that are using traditional methods for maintaining attendance records. A smart loT-based attendance system can improve the effectiveness of work in the industry. The purpose of this study is to design a system that would be used for fingerprint attendance. This system consists of ESP 8266, R307 Fingerprint Sensor and OLED Display. The ESP8266 WiFi module will collect fingerprint data from multiple users and send it over the internet. The experimental study showed the designed system has a high level of efficiency and 99.9% accuracy. The designed system completed attendance in 7.86 seconds on average, which is quicker than many other systems in use. The outcome also demonstrates a trustworthy, well-secured system that can prevent impersonation. Novelty In our system is that we have allow access to attendance records from anywhere, and provide real-time data to the management. We have also used biometric technology which allows for a more accurate and secure way to track attendance, as it uses unique physical characteristics of an individual to identify them.\",\"PeriodicalId\":441215,\"journal\":{\"name\":\"2023 International Conference on Emerging Smart Computing and Informatics (ESCI)\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Emerging Smart Computing and Informatics (ESCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ESCI56872.2023.10099839\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Emerging Smart Computing and Informatics (ESCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESCI56872.2023.10099839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Nowadays, as attendance is taken using the tra-ditional pen and paper method, it increases the workload for employees and employers. This increases the cost of maintaining records and will also increase the manipulation in the system. So, there is a dire need of proper attendance management system. As it will help in Accurate tracking, increase productivity and reduces time for marking attendance. As the world around us becomes more modern, organizations are adopting more advanced methods for managing attendance and recording. But there are still some organizations that are using traditional methods for maintaining attendance records. A smart loT-based attendance system can improve the effectiveness of work in the industry. The purpose of this study is to design a system that would be used for fingerprint attendance. This system consists of ESP 8266, R307 Fingerprint Sensor and OLED Display. The ESP8266 WiFi module will collect fingerprint data from multiple users and send it over the internet. The experimental study showed the designed system has a high level of efficiency and 99.9% accuracy. The designed system completed attendance in 7.86 seconds on average, which is quicker than many other systems in use. The outcome also demonstrates a trustworthy, well-secured system that can prevent impersonation. Novelty In our system is that we have allow access to attendance records from anywhere, and provide real-time data to the management. We have also used biometric technology which allows for a more accurate and secure way to track attendance, as it uses unique physical characteristics of an individual to identify them.