Face detection by using Haar Cascade Classifier

the Haar Cascade Classifier is a popular technique for object detection that uses machine-learning approach to identify objects in images and videos. In context of face detection, algorithm series classifiers are trained on thousands positive negative regions image may contain face. The multi-stage process involves collecting training data, extracting features, classifiers, building cascade classifier, detecting faces test image, post-processing results remove false positives negatives. has been shown be highly accurate efficient videos, but it some limitations, including difficulty under challenging lighting conditions or when partially occluded. Overall, remains powerful widely-used tool important carefully evaluate its performance specific each application consider using more advanced techniques necessary.