• Pratiksha More
• Snehal Wadekar
• Sunita Parbat
• Avesh Bhagwane

In this paper we propose an automated attendance management system. This system, which is based on face detection and recognition algorithms, automatically detects the student when he enters the class room and marks the attendance by recognizing him. The system architecture and algorithms used in each stage are described in this paper. Different real time scenarios are considered to evaluate the performance of various face recognition systems. The system compares the image of the test and the training image and determines who is and is not present. The attendance data is stored in a CSV file that is automatically updated whenever we run the program. The main purpose of this project is to build a face recognition-based attendance monitoring system for educational institution to enhance and upgrade the current attendance system into more efficient and effective as compared to before. The current old system has a lot of ambiguity that caused inaccurate and inefficient of attendance taking. Many problems arise when the authority is unable to enforce the regulation that exist in the old system. The technology working behind will be the face recognition system. The human face is one of the natural traits that can uniquely identify an individual. Therefore, it is used to trace identity as the possibilities for a face to deviate or being duplicated is low. In this project, face databases will be created to pump data into the recognizer algorithm. Then, during the attendance taking session, faces will be compared against the database to seek for identity. When an individual is identified, its attendance will be taken down automatically saving necessary information into a CSV file. At the end of the day, the CSV file containing attendance information regarding all individuals are mailed to the respective faculty.

Face recognition, biometric applications, Python programming language, image acquisition, preprocessing, model training, database management, Haar cascade algorithm, HOG algorithm, privacy concerns, security vulnerabilities, ethical implications, smart attendance system, Processing unit, real-time monitoring, remote accessibility, edge computing, SMTP , power supply, network connectivity, backup storage, optional components

"Face Recognition Attendance Tracker System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.o654-o659, May-2024, Available :http://www.jetir.org/papers/JETIR2405F75.pdf

"Face Recognition Attendance Tracker System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppo654-o659, May-2024, Available at : http://www.jetir.org/papers/JETIR2405F75.pdf