出勤
生物识别
计算机科学
面部识别系统
指纹(计算)
指纹识别
认证(法律)
虹膜识别
班级(哲学)
鉴定(生物学)
人工智能
人脸检测
面子(社会学概念)
计算机安全
多媒体
模式识别(心理学)
社会科学
植物
社会学
经济
生物
经济增长
标识
DOI:10.22214/ijraset.2022.39702
摘要
Abstract: Face recognition systems are used in practically every industry in this digital age. One of the most widely utilized biometrics is face recognition. It can be used for security, authentication, and identity, among other things. Despite its low accuracy relative to iris and fingerprint identification, it is extensively utilized because it is a contactless and non-invasive technique. Face recognition systems can also be used to track attendance in schools, colleges, and companies. Because the existing manual attendance system is time consuming and difficult to maintain, this system intends to create a class attendance system that employs the concept of face recognition. There’s also the possibility of proxy attendance. As a result, the demand for this system grows. Database development, face detection, face recognition, and attendance updating are the four steps of this system. The photos of the kids in class are used to generate the database. Faces are discovered and recognized from the classroom's live streaming footage. At the end of the session, the attendance will be mailed to the appropriate faculty. Keywords: Smart Attendance System, NFC, RFID, OpenCV, NumPy
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