Bi-Staged Attendance Automation System with Face and Voice Detection Using Viola-Jones Recognition Algorithm

In recent times, there have been numerous attempts to create technology that enables manual interactions between humans and machines. Such an interface has the potential to yield significant benefits. Facial detection refers to identifying the location and dimensions of faces, particularly those of humans, in digital images and videos, frequently as part of a larger facial recognition system. The organization will be able to automate the tracking of student attendance using a system that employs face detection and recognition algorithms and also recognizes the voice of the student for marking the attendance of that particular student. Whenever a student appears in front of the camera (webcam or CCTV), the system will automatically recognize them with their voice and mark their attendance in the cloud web server database through Bi-Staged Attendance Automation System (BSAA). In BSAA, Viola-Jones algorithm is used for face detection. This chapter aims to enhance the performance of face detection with a second stage for voice detection. The system takes voice input through Audacity, a recording tool and the system ensures that the recorded voice retains its original quality to a significant degree. The proposed system BSAA is found to be better than the existing systems by incorporating additional features such as extensive data storage and efficient computing while minimizing hardware costs and increasing accuracy with high level of privacy. .