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. The management of the attendance can be a great burden on the teachers if it is done by hand. 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 long-time 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. The System has add-on function of temperature check and Hand sanitization to deal to covid situation.

Keywords: Face recognition, Face detection, Naive-Bayes, Machine Learning.

PDF | DOI: 10.17148/IJARCCE.2021.10584

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