Student Attendance Management System

Student Attendance Management System

Jayesh Dhobe1, Rohan Gaikwad2, Sachin Ghadage3, Samarjeet Patil4

under the guidance of Prof. Arunadevi Khaple

Students of Computer Engineering at Zeal College of Engineering and Research, Narhe, Pune

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ABSTRACT

The unique traces a real-time face recognition and attendance system designed to streamline attendance tracking in instructive settings. Leveraging OpenCV, face_recognition, and MongoDB, the framework mechanizes the recognizable proof of understudies from video streams or IP camera nourishes, recording their participation precisely and productively. Conventional attendance methods are regularly labor-intensive and inclined to mistakes, inciting the advancement of robotized arrangements. This investigate addresses these challenges by joining strong facial recognition algorithms with real-time video preparing capabilities and adaptable information capacity. By utilizing OpenCV for image processing, face_recognition for facial include location and acknowledgment, and MongoDB for information administration, the framework offers a comprehensive arrangement for participation following. The abstract emphasizes the system's common sense, effectiveness, and potential to revolutionize participation administration in instructive educate. Besides, it highlights the significance of exactness, preparing speed, and versatility in assessing the system's execution. Generally, the theoretical sets the organize for a detailed investigation of the system's design, execution, results, and suggestions for participation administration in educational settings.