Implementation of a Blockchain Based Attendance Tracking System

Abstract

Student’s attendance is important factor all the time in educational institution because a single absent is big difference in performance and disciplinary related activities. Making attendance with high accuracy is important factor even though there are various ways to mark student’s attendance in modern era. Face recognition-based attendance tracking system is a popular way nowadays introduced in colleges and schools. There are two problems associated with the automated attendance management system is it requires an administrator to monitor the attendance of students. Generally, it’s very difficult to handle with large number of students. Another problem with the system is record need to be maintained from forgery. Blockchain technology is decentralized management useful for protect sensitive data. The goal of the proposed work is to provide a web-based application with a notification system that allows mentors to keep track of their mentees’ attendance while sitting in their place. The work is divided into two parts: first, automatic face detection and analysis using the CNN model; and second, notification systems and the production of logs to consider. The generated log is maintained in block chain network.