Face Based Attendance System
The system initially leveraged OpenCV and Face Recognition for face detection and identification. However, recognizing the need for enhanced efficiency and accuracy in face recognition, the system was later upgraded by implementing a custom model. This involved the utilization of the MTCNN (Multi-task Cascaded Convolutional Networks) algorithm for face detection and the SVC (Support Vector Classification) algorithm for the face recognition task.
The integration of these algorithms resulted in a more sophisticated and tailored face recognition model, specifically designed to efficiently process registered face data. The use of MTCNN facilitates robust face detection, while the SVC algorithm enhances the recognition accuracy, collectively providing a streamlined approach for efficient check-ins as users approach the camera. This modification represents a strategic move towards a more advanced and customized solution, optimizing the system's performance in recognizing registered faces for seamless and reliable user authentication.