I-FRAS an inteligent face recognition attendance system / Kirijashini Sundaramurthy ... [et al.]

I-FRAS is a project that is being developed in collaboration with SJK(T) KALAIVANI school to automate the process of taking attendance at educational institutions via the use of face recognition technologies. Students have a tendency to assist absent friends with their attendance by either raising their hands, writing their names on the attendance sheet, or simply sharing the Google Form, which has become a problem because monitoring attendance in a class with a large number of students is timeconsuming and prone to errors. Besides, students tend to assist absent friends with their attendance by sharing the manual Google Form. The primary goals are to create a face recognition system for tracking students' attendance in real time to replace the existing manual approach with an automated one and to notify parents via Gmail which will be attach with Google Datasheet to view their children’s attendance records. This project utilizes a real-time face recognition attendance system which will be develop using ESP32 Camera. To activate this ESP32 Camera, ATMEGA 328 mini-Microcontroller is programmed using Python and Arduino IDE to perform face recognition steps i.e., Capturing, Extracting, Comparing, and Matching to allow efficient recognition in recoding student attendance. The benefits of this project include the recording of time spent in and out of the building, encouraging students to arrive on time, reducing the amount of time spent recording, and allowing parents to assess attendance data using google datasheet. An increase in attendance will not result in a drop in academic attainment if this plan is implemented.