Face recognition-based attendance system with anti-spoofing, system alert, and email automation

The subject matter of the article is design an attendance system based on face recognition with anti-spoofing, alarm, and Email Automation to improve accuracy efficiency, highlighting its potential revolutionize traditional tracking methods. administration might be a tremendous load authority if it done manually. Therefore, goal this study reliable efficient that can replace manual approaches while also detecting preventing spoofing attempts. Without approach, may collected using many kinds technologies, including biometric systems, radiofrequency card facial systems. stands out among rest as great alternative used in offices classrooms. tasks accomplished include selecting appropriate detection implementing anti-spoofing measures prevent intruders from exploiting system, integrating alarms email automation efficiency. methods Haar cascade for LBPH algorithm recognition, DoG filtering speech alarm intruders. result rate 87 % false positive 15 %. However, since not 100 %, will informed through case someone present but detected by system. In conclusion, designed offers effective classrooms, providing accurate records attempts notifying authorities any