• Keerthika A
• Dr.V.Savitha
• Preetha Selvamani M
• Kavya R
• Periyanayagam R

Traditional attendance management system is being facilitated through ERP or biometrics to be in the start of automatic attendance monitoring. Smart city is an evolving field that customizes all the human power to the automated system. So using a traditional system is out-dated and also it takes more time. To avoid the time consumption and errors due to traditional method, automatic process which is based on image processing. Real-time Student Attendance Management uses face detection and face recognition system. The first phase is preprocessing where face detection is processed through the step image processing. It includes the face detection and face recognition process. Second phase is feature extraction. Step by step execution of these techniques helps to achieve the final output. It can recognize faces and mark attendance for the recognized faces in an excel sheet.

Attendance management system; Machine learning; Python opencv; Automated attendance system; Smart cities; Face recognition.

"Design Thinking based Real-time Student Attendance Management System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 2, page no.e599-e602, February-2023, Available :http://www.jetir.org/papers/JETIR2302472.pdf

"Design Thinking based Real-time Student Attendance Management System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 2, page no. ppe599-e602, February-2023, Available at : http://www.jetir.org/papers/JETIR2302472.pdf