• Krish Makkar

The main purpose of this research is to change the current attendance system. Attendance is an important aspect of the daily classroom evaluation at the beginning and the end of the class. While manually calling out names and marking it or taking student signatures, attendance becomes a time consuming task. The teacher manually calls student names and there are chances that teacher can miss any student or some student don’t answer their calls. So we can solve this issue with the help of facial recognition based attendance system, in which student faces are captured by high-definition monitor video and other internet of things based technology. Instead of using time consuming approaches, we present a real time Facial Recognition System for marking and tracking attendance in class. This method identifies human faces by using a camera mounted on the wall or we can also use webcams. Face recognition is the main aspect for using this technique. By using this technique many institutions will get profit. It will reduce the amount of time it takes and the human errors will also be minimized which will make this technique more efficient.

"Automated Attendance System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.a657-a668, July-2023, Available :http://www.jetir.org/papers/JETIR2307080.pdf

"Automated Attendance System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppa657-a668, July-2023, Available at : http://www.jetir.org/papers/JETIR2307080.pdf