PHISING EMAIL DETECTION
Abstract
Abstract: - Attendance is a ritual followed in every class every day. In the present academic system, regular class attendance of students’ plays a significant role in performance assessment and quality monitoring. The conventional methods practiced in most of the institutions are by calling names or signing on papers, which is highly time-consuming and insecure.Taking attendance manually can be a great burden for teachers. With the advent of technology the manual attendance system can be applied with help of computer vision. Computer vision plays a major part in recognizing facial parts of students for putting up automated attendance without use of paper and pen. This attendance is managed properly and for longtime with help of automation. The attendance can be accessed by teachers, students and parents from anywhere anytime. Image Processing with deep learning is applied to easier assessment of attendance which is time-consuming and cost saving.Keywords: Face detection, Deep learning, Attendance
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IMPORTANT DATES
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Paper Submission Open For |
October 2024 |
UGC indexed in (Old UGC) |
2017 |
Last date for paper submission |
30th October, 2024 |
Deadline |
Submit Paper any time |
Publication of Paper |
Within 15-30 Days after completing all the formalities |
Publication Fees |
Rs.6000 (UG student) |
Publication Fees |
Rs.8000 (PG student)
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