We created a unique patent-pending optical and computer vision solution for robust eye tracking, allowing us to embed the technology to challenging environments. Our solution is robust to track wide populations, can speed up computational time and allow for better resource allocation. We combine a robust hardware and optics with high-performing computer vision approach.
Our technology has been demonstrated in medical environments, including surgical operating rooms, as a skill- and workload sensor. We pioneer gaze-based input for medical ocular devices. Our ocular embedded eye tracking is in use in hospital environments to support training of surgical procedures.
Eye-tracking for VR
Our robust eye-trackers can be embedded into head-mounted display environments. We offer unique, robust and high-speed technology and algorithms. Our eye-tracking works with large user populations and in varying lighting conditions.
Eye-tracking for user research
Our wearable and customizable solution achieves accuracy beyond state-of-the-art, visualization of users 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. Please contact us and let’s think together how we can develop eye-tracking with you.
Frequently asked questions about eye tracking
What is eye tracking used for?
Eye tracking is a method to measure direction of ones gaze. This information can be used for building intelligent user interfaces.
How accurate is eye tracking?
Typical accuracy range around 0.5-1 degree of visual angle, which corresponds to about 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 wide 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 reporting valid data. Such challenges include people wearing eye glasses, make up, slippage of the imaging system, dark eye color, and surrounding illumination.