• Avantika Singh
• Nishu Barnwal
• Prabha Kant Dwivedi

In the Face recognition-based attendance system the raspberry-pi is used for image processing in the proposed system's facial detection-based attendance system. To determine whether every student was present or not, we used an image processing concept. Due to its capacity to measure and subsequently identify human identification, face recognition systems are frequently employed for identifying individuals. Using photos of a situation, the Open CV/ Python module is designed to find or confirm one or more people using a database of faces that has been stored. The photos are therefore extracted and made available for comparison with the database images. The image will be sent to an email address if the images match. Therefore, an online user can view this person's image. It can also generates an Excel sheet that can store the information whenever the person is detected according to their entry and exit timing.

Raspberry-PI, Open-CV , PI-CAM

"Face recognition based attendance system using Raspberry-PI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.m704-m709, May-2023, Available :http://www.jetir.org/papers/JETIR2305C99.pdf

"Face recognition based attendance system using Raspberry-PI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppm704-m709, May-2023, Available at : http://www.jetir.org/papers/JETIR2305C99.pdf