Real Time Face Identification and Attendance System on Low Powered Devices Using Haar-Cascade and Hog

Abstract

In a world where we as human beings are gradually shifting towards leading a more comfortable life by automation and reduction of manual labor , attendance is one such thing that remains to be practiced manually in major parts of the world. It is a method of marking a group of people being in colleges , schools and offices that they were present on the day. This long on-going practice has been very primitive in the ways it is practiced. In this paper we propose an automatic attendance system using facial recognition integrated with a raspberry pie 4 model with its camera module. The dataset will be programmed on the respective students and then using snapshots from live video surveillance we can recognize the student based on the matching the features extracted with the trained grayscale images. Attendance is marked if the student is verified and an email will be sent to the concerned authority’s email address in-case an unknown person is found breaching the premises of the class. This will have a diminutive effect on attendance related chicanery.