5 Years Impact Factor: 1.53
Author: Ch.Sasivardhan Rao, B.Pavan Kalyan,D.Sai Milind, B.Sai Kiran,B.Chandu ,Mr.P.Mahesh, Dr.R.S.R.Krishnam Naidu
Abstract:
Facial recognition technology has become a powerful tool for uses, including managing attendance. Older methods, like paper forms or RFID systems, tend to be inaccurate and difficult to handle. To mitigate these drawbacks, this smart facial recognition attendance system (SFRAS) is aimed at offering an efficient and easy-to-use solution. The implementation of this system involves the integration of a Raspberry Pi single-board computer with a camera module that captures real-time photos of individuals as they arrive in a designated location. These images are processed with OpenCV’s facial recognition algorithms to extract features. The extracted data is then matched against a database of pre-registered faces to verify individuals' identities. When identification is successful, the attendance record is automatically updated in a central database. Python scripts facilitate the communication among the Raspberry Pi, OpenCV, and the database. This SFRAS, utilizing Raspberry Pi as it
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