Abstract
bstract: This paper presents a concise overview of a facial attendance system implemented using Python. Leveraging deep learning techniques and popular libraries such as OpenCV and Tensor Flow, the system offers accurate and efficient attendance tracking based on facial recognition. The paper discusses the system architecture, dataset used for training, performance evaluation, and potential implications for real-world deployment. Overall, this research contributes to the advancement of attendance management systems through the integration of facial recognition technology. Index Terms- Facial Recognition,Attendance Management Systems, Python Programming, Deep Learning, Convolutional Neural Networks (CNNs),Learning, Convolutional Processing, Privacy Concerns, Ethical Considerations
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
