Abstract

Abstract: The "AI Attendance: Automated Attendance Monitoring System" employs artificial intelligence and facial recognition to revolutionize attendance tracking, replacing inefficient methods like roll calls and ID cards. This system eliminates manual record-keeping, reducing administrative burdens while ensuring accurate real-time identification of individuals' attendance. Technologies such as Flask Framework, OpenCV, and Pandas Library are utilized to develop a user- friendly web interface for face registration and attendance marking.With Pickle for serialization, registered faces persist seamlessly, enhancing efficiency and accuracy in attendance monitoring across various sectors

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.