R. Josphineleela, D. Lekha, L. Natrayan, K. Purohit
{"title":"Biometric Aided Intelligent Security System Built using Internet of Things","authors":"R. Josphineleela, D. Lekha, L. Natrayan, K. Purohit","doi":"10.1109/ICEARS56392.2023.10085572","DOIUrl":null,"url":null,"abstract":"Protection is critical for information, property, and even living beings. The usage of IoT and biometrics for security is becoming increasingly common as technology progresses. Facial recognition is widely accepted as a universally applicable, aggregated, and easily accessible biometric technology. Facial biometrics employ the same indicators that humans use to differentiate between persons. This study has investigated the face recognition technology in order to create a dependable door lock system. The biometric face recognition system developed using ESP32-CAM. When a face comes in front of the camera, the system instantly detects and recognizes it. A prototype was created and tested to evaluate the security functionality, effectiveness, and dependability. The findings indicate the result may be utilized effectively improve person's existence and safety, as well as for industrial and residential applications.","PeriodicalId":338611,"journal":{"name":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Second International Conference on Electronics and Renewable Systems (ICEARS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEARS56392.2023.10085572","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
Protection is critical for information, property, and even living beings. The usage of IoT and biometrics for security is becoming increasingly common as technology progresses. Facial recognition is widely accepted as a universally applicable, aggregated, and easily accessible biometric technology. Facial biometrics employ the same indicators that humans use to differentiate between persons. This study has investigated the face recognition technology in order to create a dependable door lock system. The biometric face recognition system developed using ESP32-CAM. When a face comes in front of the camera, the system instantly detects and recognizes it. A prototype was created and tested to evaluate the security functionality, effectiveness, and dependability. The findings indicate the result may be utilized effectively improve person's existence and safety, as well as for industrial and residential applications.