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).
Value of Eye Gaze Estimation Systems with Deep Learning
Eye tracking is still a novel technology that requires capable computing hardware. However, high accuracy can be achieved without the need for complex hardware, making eye tracking available to use in a wide range of real-world use cases.
- Large-scale implementation: No burdensome explicit user calibration. Modern deep learning models are much more robust than prior methods that perform poorly on imperfect image quality and lighting.
- Increase operational productivity: Automated eye tracking is used as an indicator for stress level and attentiveness analysis. Both factors critically impact the product/service quality.
- Accident avoidance: Real-time driver monitoring detects distracted driving and gaze distraction from the road (smartphone usage, eating or drinking, and others).
- Safety systems: Eye gaze tracking is used in robust fatigue detection systems to improve safety in transportation and manufacturing.
- Cost savings through lower insurance premiums and avoidance of fees and accidents (e.g., ensuring rest breaks of drivers).