A Realtime face attendance system using Haar Cascade frontal face is a Machine Learning application that uses Haar Cascade classifier algorithm to detect and recognize human faces in real time. The system captures live video feed from a camera, and applies the Haar Cascade classifier to detect the presence of a frontal face in the video frames. The detected face is then compared with a database of registered faces to mark attendance. The system can be used for attendance tracking in various settings such as schools, workplaces, and events. The advantage of using Haar Cascade algorithm is its high accuracy in detecting frontal faces, making it an ideal choice for this application.
#facerecognition #HaarCascade #attendanceautomation #machinelearning #biometrictechnology #innovation #digitaltransformation.
What you will get with this project?
- Complete Source Code
- Installation Video (Step by step)
- Code explanation (Overview)
- Project Report
- Power Point Presentation