Smart Attendance System using Face Recognition
Raushan Kumar, Prince Kumar Sharma, Varun Sai , Dharmendra Kumar Mandal, DR. Arul Prakash
Department of CSE
BIHER_Chennai
Abstract-: Face recognition technology has come decreasingly popular in recent times and has multitudinous operations in colorful fields. One of the most important operations is attendance operation, which is pivotal in the education sector. The traditional system of taking attendance involves calling out names and manually recording attendance, which is time- consuming and prone to crimes. also, it can be fluently manipulated, allowing scholars to cheat by deputy attendance. To overcome these issues, a face recognition attendance system has been proposed. The system is designed to fete scholars by using face bio statistics grounded on high- description monitoring and other computer technologies. It aims to digitize the traditional system of taking attendance and exclude the need for homemade recording, therefore saving time and reducing crimes. The system uses colorful technologies similar as Haar classifiers, KNN, CNN, SVM, GAN, and Gabor pollutants for face recognition. Haar classifiers are used for detecting faces in an image, KNN, CNN, and SVM are machine literacy algorithms used for face recognition, GAN is a deep literacy algorithm used for generating synthetic data, and Gabor pollutants are used for point birth. Once the system recognizes a pupil's face, it generates attendance reports that are stored in Excel format. The reports can be fluently penetrated and participated with applicable authorities. The system has been tested under different conditions similar as varying illumination, head movements, and distance between the pupil and the camera. The results of the testing show that the system is effective and dependable. Overall, the proposed system is a cost-effective and easy- to- install result for attendance operation. It eliminates the need for homemade recording, saves time, and reduces crimes. The system is also robust and accurate, making it a suitable result for use in classrooms.
