Smart Attendance Management System Face Recognition

Taking attendance is one of the most crucial duties that needs to be completed every day in businesses, schools, institutions, and organizations. Most of the time,it is done by hand using methods like calling someone by name or roll number. This project’s primary objective is to develop an automated face recognition- based attendance system that will replace the current manual procedure. This project satisfies the time management requirements as well as the requirements for updating the attendance system. This device is placed in the classroom and isused to train students’ personal data, including name, roll number, class, sec, andphoto. Open CV is used to extract the photos.The student can approach the machine prior to the commencement of the relevant class, and it will start takingphotographs and comparing them to the eligible dataset. For this project, the processing board and camera were an NVIDIA Jetson Nano Developer kit and aLogitech C270 webcam. The picture is handled in this way.The device automatically labels attendance after identifying faces using a Haarcascade classifier, the LBPH (Local Binary Pattern Histogram) Algorithm, and comparing the histogram data to a pre-existing dataset. An firebase is created and updated hourly using data from the relevant class instructor.