IoT based Intelligent Attendance Monitoring with Face Recognition Scheme

Abstract

This article includes understudy participation and workforce participation. The understudy participation is set apart by face acknowledgment. Face identification and face acknowledgment are performed by the raspberry-pi module. The pin camera is associated with the raspberry-pi serial USB port catch of the researchers who are accessible inside the class for face location. The selected images perceive with stored images and will perceive the essences of each understudy, and enrollment will be given to that subject class based on that perception. This interaction is done in each class and understudies are given participation appropriately. The attendance will be set apart with date and time. The participants can check whether there is human intervention or not.