Eye-tracking technology
Unique patented solutions robust to track broad populations in a variety of environments.
We combine robust hardware and optics with a novel high-performing eye detection approach.
Using SeeTrue you can
- Embed eye trackers to challenging environments
- Precisely monitor eye movements and eye location
- Optimize display and computational time
- Improve resource allocation
- Monitor vital signals
- Control and interact with devices
- Cue visual attention
Eye-tracking solutions
Medical applications
Our technology has been demonstrated in medical environments, including surgical operating rooms, as a skill- and workload sensor. We pioneer gaze-based input for ocular medical devices. Our ocular embedded eye tracking is in use in hospital environments to support the training of surgical procedures.
Eye-tracking for VR
Eye-trackers can be embedded in head-mounted display environments. We offer unique high-speed technology and algorithms—our eye-tracking works with large user populations and varying lighting conditions.
Eye-tracking for industrial applications
Our wearable and customizable solution achieve accuracy beyond state-of-the-art visualization of the user’s interest. Customizations are provided for particular domains and end-user populations.
Endless opportunities of eye-tracking
We have seen thousands of applications of eye-tracking, but your specific area may demand another new customization that we are ready to talk about. Contact us.
FAQs
What is eye-tracking used for?
Eye-tracking is a method to measure the direction of one’s gaze. This information can be used for building intelligent user interfaces and there are other uses as well.
How accurate is eye tracking?
Typical accuracy ranges around 1-2 degrees of visual angle, which corresponds to the size of a thumbnail when stretched at an arm’s length. SeeTrue Technologies’ systems provide market-level accuracy coupled with unprecedented robustness.
What is the problem with eye-tracking?
General-purpose eye-tracking systems fail to accurately and robustly work with a vast population, need to be frequently calibrated, and cannot slip or move during operation.
Why is the current eye-tracking not robust enough?
Because current eye trackers mostly rely on image processing to detect various eye features from the eye image, any optical disturbance causes the systems to fail to report valid data. Such challenges include wearing eyeglasses, making up, slippage of the imaging system, dark eye color, and surrounding illumination.
