• Vasanth Kumar S
• Mrs.M.Sasipriya M.E
• R.Gokilan
• K.Nithish

In today's technologically advanced era, the demand for efficient and automated attendance management systems is paramount. The system can scan faces in real time using a webcam. It employs the face recognition library to compare face encodings and identify individuals from a preloaded set of images. The system keeps track of attendance by marking the entry and exit times of recognized individuals. It maintains an attendance CSV file with details such as name, reg number, status (present or absent), entry time, exit time, late entry, time spent, and attendance percentage. The system can send an email with an attached attendance report every 50 minutes with day attendance, hour attendance, and the complete attendance percentage to date. This feature enhances communication and allows for easy sharing of attendance records with management. The GUI provides attractive buttons for functionalities like face scanning, adding new faces, deleting faces, and displaying scanned images.

computer vision; face recognition; image processing; attendance management system.

"AUTOMATED FACE RECOGNITION AND ATTENDANCE MANAGEMENT SYSTEM USING PYTHON OPENCV AND CONVOLUTIONAL NEURAL NETWORK(CNN)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.h676-h681, May-2024, Available :http://www.jetir.org/papers/JETIR2405787.pdf

"AUTOMATED FACE RECOGNITION AND ATTENDANCE MANAGEMENT SYSTEM USING PYTHON OPENCV AND CONVOLUTIONAL NEURAL NETWORK(CNN)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. pph676-h681, May-2024, Available at : http://www.jetir.org/papers/JETIR2405787.pdf