{"title":"面部识别安全警报系统","authors":"Gabriela Da Silva Sousa, E. N. Mambou, T. Swart","doi":"10.1109/africon51333.2021.9570855","DOIUrl":null,"url":null,"abstract":"In this paper the design and implementation of a real-time face recognition security system is presented. The security system demonstrates how surveillance can be adapted to offer a greater level of security with facial recognition. The security system was implemented in a four-person household. Results show that the designed facial recognition security system achieved a 100% training and 96% validation accuracy with a 100% accuracy on the test images dataset consisting of unseen images of the four enrolled users.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Facial Recognition Security Alert System\",\"authors\":\"Gabriela Da Silva Sousa, E. N. Mambou, T. Swart\",\"doi\":\"10.1109/africon51333.2021.9570855\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper the design and implementation of a real-time face recognition security system is presented. The security system demonstrates how surveillance can be adapted to offer a greater level of security with facial recognition. The security system was implemented in a four-person household. Results show that the designed facial recognition security system achieved a 100% training and 96% validation accuracy with a 100% accuracy on the test images dataset consisting of unseen images of the four enrolled users.\",\"PeriodicalId\":170342,\"journal\":{\"name\":\"2021 IEEE AFRICON\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE AFRICON\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/africon51333.2021.9570855\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE AFRICON","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/africon51333.2021.9570855","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper the design and implementation of a real-time face recognition security system is presented. The security system demonstrates how surveillance can be adapted to offer a greater level of security with facial recognition. The security system was implemented in a four-person household. Results show that the designed facial recognition security system achieved a 100% training and 96% validation accuracy with a 100% accuracy on the test images dataset consisting of unseen images of the four enrolled users.