What is Eye Gaze Detection?
Eye gaze detection uses image recognition with deep learning to perform eye tracking. Gaze tracking is typically employed to determine a person’s focus of attention.
Eye tracking is becoming a very important capability across many domains, including security, psychology, computer vision, and medical diagnosis. Also, gaze is important for security applications to analyze suspicious gaze behavior. A use case in educational institutes is the automated analysis of the student’s eye gazes during an examination to help minimize malpractices.
Features of Real-time Eye Gaze Tracking
Real-time eye tracking and eye gazing estimation using deep neural networks. Modern Edge Computer Vision with powerful on-device machine learning allows large-scale eye-tracking for gaze-based analysis.
- Face detection for finding faces.
- Head pose estimation to provide input for gaze estimation model.
- Facial landmarks for detected faces with keypoints to locate the eyes regions.
- Eye state detection in detected faces (open, closed).
- Real-time video input from surveillance cameras or webcams/USB cameras.
- Edge AI processing allows privacy-preserving on-device computing that is robust (online/offline).
- Test Item
