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This is a Python 3 based project to perform fast & accurate face detection with OpenCV face detection to videos, video streams, and webcams using a pre-trained deep learning face detector model shipped with the library.
Face identification algorithms focus on the identifiction of frontal human faces. It is analogous to image detection in which the image of a person is matched bit by bit. Image matches with the image stores in database. Any facial feature changes in the database will invalidate the matching process. It's mostly use for the security.
FACE DETECTION AND ATTENDENC-- Face detection is a computer vision problem that involves finding faces in photos. It is a trivial problem for humans to solve and has been solved reasonably well by classical feature-based techniques, such as the cascade classifier
Identify subjects from CCTV footages even when there are only limited number of photographs available for the suspected individuals. The system should work in near real time and even when there are partial occlusion, different pose, and physical changes like beard , eye-glasses and face masks .
This project empowers employees to efficiently check in and check out through secure account authentication. Additionally, the platform extends a user-friendly interface for visitors, including guests, service personnel, and intern members, enabling them to register seamlessly on the website.
2023-2 Medical Image Processing Project : Short-term Muscular Tic-Patients Detector : Half-Automated Extracted Model based Algorithms using Google MediaPipe to Analysis Tic Region of Interest