• P S V S SURYA PRAKASH
• M Hrithik
• B srivarsh
• P Venkata Lavanya

In class, it's crucial for pupils to be present. When done manually, it typically consumes a lot of class time that could be used for learning. Face recognition-based automation of the attendance system is the suggested fix for the current issue. Any human can be recognised mostly by their face. This tutorial explains how to use a Raspberry Pi to detect and recognise faces in real time. This project uses the OpenCV open source image processing library to define an effective algorithm. Face Detection, Face Preprocessing, Face Training, Face Recognition, and Attendance Database are the five modules that make up our methodology. To identify the faces of the kids, a face database is compiled. The student database, which consists of the faces of all the students, is used to train the algorithm initially. While gathering student photos and taking attendance throughout training and testing, the system uses an intuitive user interface to maximise the user experience. Numerous more applications where face recognition can be used for authentication can be used with this project. Utilizing a Raspberry Pi reduces product costs and improves usefulness because it can be connected to any device to take attendance. This project employs a modified version of Viola-Cascades Jones's Haar's technique for face detection, LBP histograms for face identification, and updates the database using both MYSQL and SQLite (the lite version of SQL for the Raspberry Pi). The system will automatically send messages to the department head and the guardians of absent students informing them of the student's attendance in the class and updating the student's record accordingly.

face recognition, raspberry pi

"face recognition attendance system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.a95-a99, July-2022, Available :http://www.jetir.org/papers/JETIR2207012.pdf

"face recognition attendance system", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppa95-a99, July-2022, Available at : http://www.jetir.org/papers/JETIR2207012.pdf