Pulla Rajkumar, K. Keerthana, Gali Saicharan, M. Manikanta, B. Raju
{"title":"Visitor Monitoring System Using Raspberry PI and PI Camera","authors":"Pulla Rajkumar, K. Keerthana, Gali Saicharan, M. Manikanta, B. Raju","doi":"10.46632/jeae/2/1/8","DOIUrl":null,"url":null,"abstract":". The visitor monitoring system (VMS) offers a convenient solution for front desk officers to easily search and monitor the visitors on a given day, ensuring a secure environment for organizations. By employing our application, organizations can effectively protect themselves from unauthorized individuals. Our system operates efficiently with minimal resources, allowing organizations to track visitors and maintain records for future reference. To implement this, we integrate a camera with a raspberry pi to capture images of visitors entering through gates or doors. We employ the haar cascade algorithm for face detection and utilize numpy and pillow python algorithms for face recognition. Consequently, our system establishes a database that keeps track of visitors who visit the organization. To ensure the security of the premises, visitors are granted entry only after their identity is verified using either the face recognition technique or by sending a one-time password (OTP) to their registered mobile number. This feature proves highly effective in preventing unauthorized individuals from gaining access to the campus, thus enhancing overall security measures.","PeriodicalId":6298,"journal":{"name":"1","volume":"9 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46632/jeae/2/1/8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
. The visitor monitoring system (VMS) offers a convenient solution for front desk officers to easily search and monitor the visitors on a given day, ensuring a secure environment for organizations. By employing our application, organizations can effectively protect themselves from unauthorized individuals. Our system operates efficiently with minimal resources, allowing organizations to track visitors and maintain records for future reference. To implement this, we integrate a camera with a raspberry pi to capture images of visitors entering through gates or doors. We employ the haar cascade algorithm for face detection and utilize numpy and pillow python algorithms for face recognition. Consequently, our system establishes a database that keeps track of visitors who visit the organization. To ensure the security of the premises, visitors are granted entry only after their identity is verified using either the face recognition technique or by sending a one-time password (OTP) to their registered mobile number. This feature proves highly effective in preventing unauthorized individuals from gaining access to the campus, thus enhancing overall security measures.