Perancangan Sistem Absensi menggunakan Face Recognition dengan Haar Cascade Classifier

Attendance using face recognition technology is becoming increasingly popular and widely used in various fields. One technique for implementing face recognition is to use the Haar Cascade Classifier. Haar Cascade Classifier is a technique used to detect objects in images based on their shape.
In implementing attendance using face recognition technology with the Haar Cascade Classifier, the model training process is first carried out to recognize faces that will be used as training data. After the model is trained, the model will be used to carry out the facial recognition process when taking attendance.
The use of face recognition technology with the Haar Cascade Classifier is expected to speed up and simplify the attendance process and be integrated with an attendance system where attendance data processing is integrated with the employee database. As well as useful for increasing the security and accuracy of the attendance system.